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Count vehicles using Ultralytics YOLO26! 🚗 Define multiple regions, track each vehicle with its own unique ID, and get per-zone counts & overall totals. Ideal for traffic-flow analytics, toll monitoring, and smart city dashboards. Explore more ➡️ #AI #ObjectTracking #TrafficAnalytics #Ultralytics #YOLO26

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Ultralytics

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17,856 görüntüleme • 6 ay önce •via X (Twitter)

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Pothole detection in real time using Ultralytics YOLO26 🕳️ Identify potholes accurately from images or video to support road maintenance, safety monitoring, and smart city infrastructure workflows. More info👇 #AI #SmartCities #Ultralytics
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Pothole detection in real time using Ultralytics YOLO26 🕳️ Identify potholes accurately from images or video to support road maintenance, safety monitoring, and smart city infrastructure workflows. More info👇 #AI #SmartCities #Ultralytics

Muhammad Rizwan Munawar

18,819 görüntüleme • 2 ay önce

Pothole detection with Ultralytics YOLOv8 means efficient road maintenance. Real-time object detection allows for quick, precise identification, leading to immediate repairs and enhanced road safety. 🔗Learn more ➡️ #AI #YOLOv8
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Pothole detection with Ultralytics YOLOv8 means efficient road maintenance. Real-time object detection allows for quick, precise identification, leading to immediate repairs and enhanced road safety. 🔗Learn more ➡️ #AI #YOLOv8

Ultralytics

47,981 görüntüleme • 2 yıl önce

🔥Run #VLM & #YOLO26 on #reComputer #RK3576 / #RK3588 for Smart Security/Safety 🚗 Traffic Monitoring 🏢 Public Space / Building Entry 🏗 Construction Site Safety Instead of just: "There are objects in the frame" Now you get: "Here’s what’s happening, and what it means" By combining real-time detection (YOLO) with scene understanding (VLM), this demo shows how edge devices can move from perception to reasoning without relying on the cloud. 💡Learn more about reComputerRK: #SeeedStudio #reComputer #Rockchip #RK3576 #RK3588 #VLM #VisonAI #ObjectDetection #yolo #ultralytics #YOLO26 #EdgeAI #SmartSecurity #smartsafety #AIBox #NVR #AIoT #EdgeComputing #surveillance #TheAIHardwarePartner #theEasierPowerfulAIComputer
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🔥Run #VLM & #YOLO26 on #reComputer #RK3576 / #RK3588 for Smart Security/Safety 🚗 Traffic Monitoring 🏢 Public Space / Building Entry 🏗 Construction Site Safety Instead of just: "There are objects in the frame" Now you get: "Here’s what’s happening, and what it means" By combining real-time detection (YOLO) with scene understanding (VLM), this demo shows how edge devices can move from perception to reasoning without relying on the cloud. 💡Learn more about reComputerRK: #SeeedStudio #reComputer #Rockchip #RK3576 #RK3588 #VLM #VisonAI #ObjectDetection #yolo #ultralytics #YOLO26 #EdgeAI #SmartSecurity #smartsafety #AIBox #NVR #AIoT #EdgeComputing #surveillance #TheAIHardwarePartner #theEasierPowerfulAIComputer

Seeed Studio

10,158 görüntüleme • 4 ay önce

T-Mobile's approach to using 5G to create smarter, safer, and more sustainable cities shows how technology can solve real urban challenges while fostering innovation and improving communities' quality of life. More from T-Mobile Business> #TFBPartner #5G T-Mobile’s smart city solutions leverage the power of 5G to drive urban transformation, providing dependable connectivity for IoT devices and integrating advanced technologies like AI-powered safety systems, data analytics, and real-time monitoring. Their offerings address diverse needs, such as traffic flow optimization, public safety enhancement with threat detection systems, and sustainability initiatives through energy and resource monitoring. T-Mobile supports temporary setups for large events and emergencies, ensuring seamless connectivity and security. With a focus on tailored solutions and expert guidance throughout the process, T-Mobile empowers cities to become more efficient, sustainable, and responsive to the needs of their communities.
1:02

T-Mobile's approach to using 5G to create smarter, safer, and more sustainable cities shows how technology can solve real urban challenges while fostering innovation and improving communities' quality of life. More from T-Mobile Business> #TFBPartner #5G T-Mobile’s smart city solutions leverage the power of 5G to drive urban transformation, providing dependable connectivity for IoT devices and integrating advanced technologies like AI-powered safety systems, data analytics, and real-time monitoring. Their offerings address diverse needs, such as traffic flow optimization, public safety enhancement with threat detection systems, and sustainability initiatives through energy and resource monitoring. T-Mobile supports temporary setups for large events and emergencies, ensuring seamless connectivity and security. With a focus on tailored solutions and expert guidance throughout the process, T-Mobile empowers cities to become more efficient, sustainable, and responsive to the needs of their communities.

Antonio Grasso

11,863 görüntüleme • 1 yıl önce

🚀 Introducing Atlas Miner: Autonomous DePIN Driving Networks. 🔹 1,200 pre-orders: We are overwhelmed by the demand for Atlas NAVI Miners. 1,200 drivers joined the whitelist and the first 100 can buy it NOW, with more to come each week as we increase our capacities progressively. Order your Atlas Miner here: 🔹 First of its kind: Custom-built by Atlas Navi, Atlas Miner is a hardware device seamlessly integrated into our decentralized physical infrastructure network (DePIN) communicating with other Atlas Navi drivers in real time. 🔹 Connects to any dash camera: Plug & play with almost any aftermarket dash camera – even inexpensive ones (Note: Doesn't work with factory-installed cameras yet.) 🔹 AI-powered real-time analysis: Using the latest computer vision machine learning algorithms, Atlas Miner detects traffic incidents, roadblocks, lane closures, heavy traffic, police vehicles, and more. Alerts drivers in real-time via the Atlas Navi ecosystem. 🔹 Benefits for miners (Drivers using the Atlas Miner): Generate rewards for contributing data. Other drivers get vital traffic info without using an app – just plug it in and go. 🔹 For fleet managers: Reliable income and essential driver monitoring. Access GPS data, trip history, and driving behavior through our upcoming Fleet Management Dashboard. 🔹 For smart cities: Anonymized and aggregated data becomes invaluable, creating revenue opportunities with $NAVI tokens through the upcoming Traffic Dashboard. Join us in transforming the driving experience and paving the way for smarter cities! 🌍🚗💡 #AtlasMiner #DePIN #NAVI #AI #SmartCities #FleetManagement #TrafficTech
0:38

🚀 Introducing Atlas Miner: Autonomous DePIN Driving Networks. 🔹 1,200 pre-orders: We are overwhelmed by the demand for Atlas NAVI Miners. 1,200 drivers joined the whitelist and the first 100 can buy it NOW, with more to come each week as we increase our capacities progressively. Order your Atlas Miner here: 🔹 First of its kind: Custom-built by Atlas Navi, Atlas Miner is a hardware device seamlessly integrated into our decentralized physical infrastructure network (DePIN) communicating with other Atlas Navi drivers in real time. 🔹 Connects to any dash camera: Plug & play with almost any aftermarket dash camera – even inexpensive ones (Note: Doesn't work with factory-installed cameras yet.) 🔹 AI-powered real-time analysis: Using the latest computer vision machine learning algorithms, Atlas Miner detects traffic incidents, roadblocks, lane closures, heavy traffic, police vehicles, and more. Alerts drivers in real-time via the Atlas Navi ecosystem. 🔹 Benefits for miners (Drivers using the Atlas Miner): Generate rewards for contributing data. Other drivers get vital traffic info without using an app – just plug it in and go. 🔹 For fleet managers: Reliable income and essential driver monitoring. Access GPS data, trip history, and driving behavior through our upcoming Fleet Management Dashboard. 🔹 For smart cities: Anonymized and aggregated data becomes invaluable, creating revenue opportunities with $NAVI tokens through the upcoming Traffic Dashboard. Join us in transforming the driving experience and paving the way for smarter cities! 🌍🚗💡 #AtlasMiner #DePIN #NAVI #AI #SmartCities #FleetManagement #TrafficTech

ATLAS NAVI | AI Navigation APP with 1M Downloads

359,372 görüntüleme • 1 yıl önce

Chaired a high-level review meeting today at the DGP Office on the implementation of our Safe City Project, with the 4 commissioners of police and the 3 Municipal Commissioners and Transport Commissioner .As Hyderabad grows rapidly, so must our approach to urban safety. The Safe City Project is our commitment to building a safer, smarter city for women, children, senior citizens, pedestrians and every resident powered by technology and coordinated action. We reviewed progress on several fronts today which are Technology-driven policing, to maximise use of HD CCTV surveillance, Integrated Command & Control Centres in all commissionerates , Intelligent Traffic Management Systems, AI and smart monitoring for stronger crime prevention and faster emergency response. 12 Mobile She Toilets are already functional across the city We decided to have 12 more so that each of 12 zones in the 3 municipal corporations have two each . 2,306 cameras operational under Phase-I, with 862 more underway in Phase-II. Instructed all cameras be kept fully functional at all times. Pelican Signals (Pedestrian signals) to be active now at 77 locations which will be attempted to be utilised by using traffic volunteers to help pedestrians cross over . GHMC will maintain all the 404 traffic signals and improve pedestrian infrastructure in congestion-prone areas. For public awareness, directed continued use of our mobile campaign vehicles to educate citizens on safety, traffic rules, cybercrime and anti-drug initiatives. The Safe City Project reflects what coordinated effort between Police, GHMC and government departments can achieve a safer, smarter Hyderabad for all. #TelanganaPolice
1:03

Chaired a high-level review meeting today at the DGP Office on the implementation of our Safe City Project, with the 4 commissioners of police and the 3 Municipal Commissioners and Transport Commissioner .As Hyderabad grows rapidly, so must our approach to urban safety. The Safe City Project is our commitment to building a safer, smarter city for women, children, senior citizens, pedestrians and every resident powered by technology and coordinated action. We reviewed progress on several fronts today which are Technology-driven policing, to maximise use of HD CCTV surveillance, Integrated Command & Control Centres in all commissionerates , Intelligent Traffic Management Systems, AI and smart monitoring for stronger crime prevention and faster emergency response. 12 Mobile She Toilets are already functional across the city We decided to have 12 more so that each of 12 zones in the 3 municipal corporations have two each . 2,306 cameras operational under Phase-I, with 862 more underway in Phase-II. Instructed all cameras be kept fully functional at all times. Pelican Signals (Pedestrian signals) to be active now at 77 locations which will be attempted to be utilised by using traffic volunteers to help pedestrians cross over . GHMC will maintain all the 404 traffic signals and improve pedestrian infrastructure in congestion-prone areas. For public awareness, directed continued use of our mobile campaign vehicles to educate citizens on safety, traffic rules, cybercrime and anti-drug initiatives. The Safe City Project reflects what coordinated effort between Police, GHMC and government departments can achieve a safer, smarter Hyderabad for all. #TelanganaPolice

DGP TELANGANA POLICE

63,042 görüntüleme • 28 gün önce

🔥 Our latest LangChain Academy course – Deep Research with LangGraph – is now live! 🔥 Deep research agents are taking off – from major AI labs to companies building their own. Research is inherently open-ended. You can't always predict whether a question needs broad exploration or deep analysis. Agents excel here because they adapt on the fly, using each finding to decide where to dig next. Building these systems ourselves and with customers, we've learned that structure matters. The best research agents scope problems with users first. Then, they coordinate multiple specialists instead of overwhelming one generalist. LangGraph is built for these types of long-running, multi-agent workflows. Its persistence layer tracks progress across agents. LangSmith gives you the observability and evaluation tools you need to track and improve performance. In this course, you'll build and evaluate: - A user scoping agent to define research parameters - A multi-agent research team with supervisor - And add tool integration via MCP Enroll for free ➡️
2:47

🔥 Our latest LangChain Academy course – Deep Research with LangGraph – is now live! 🔥 Deep research agents are taking off – from major AI labs to companies building their own. Research is inherently open-ended. You can't always predict whether a question needs broad exploration or deep analysis. Agents excel here because they adapt on the fly, using each finding to decide where to dig next. Building these systems ourselves and with customers, we've learned that structure matters. The best research agents scope problems with users first. Then, they coordinate multiple specialists instead of overwhelming one generalist. LangGraph is built for these types of long-running, multi-agent workflows. Its persistence layer tracks progress across agents. LangSmith gives you the observability and evaluation tools you need to track and improve performance. In this course, you'll build and evaluate: - A user scoping agent to define research parameters - A multi-agent research team with supervisor - And add tool integration via MCP Enroll for free ➡️

LangChain

61,205 görüntüleme • 1 yıl önce

RoadMetrics, a Bengaluru-based startup, is leveraging artificial intelligence to transform how Indian cities manage road maintenance and monitor infrastructure. Using AI-powered mapping and analytics, the solution enables city authorities to efficiently identify road defects and plan timely interventions to improve urban mobility. Through its AI-driven platform, RoadMetrics has mapped over 50,000 km of roads, analyses nearly 1,000 km every week, and detects up to 10 categories of road damage with about 95% accuracy, with deployments including monitoring 419 km of bus routes in Chennai to support improved infrastructure planning and maintenance outcomes. By enabling data-driven infrastructure planning and maintenance, the innovation supports smarter urban governance and highlights the potential of indigenous AI solutions to strengthen India’s road infrastructure ecosystem. About the Repository: NITI Aayog’s Frontier Tech Repository is a curated platform featuring proven, impact-driven technology use cases that are solving real problems across the nation. The repository developed by the Frontier Tech Hub and The Better India, currently showcases 200+ documented case studies across sectors such as Agriculture, Healthcare, Education, Space, Defence & Security. With an integrated AI Assistant and a unique ‘Build Your Own’ feature, the Repository serves as a one-stop platform to discover, scale, and replicate frontier technology solutions addressing India’s most pressing challenges. Read the full story: Explore more: #PMOIndia #NITIAayog #FrontierTech #AIforIndia #UrbanInnovation #SmartCities #DigitalIndia #Infrastructure #GovTech #StartupIndia PMO India Narendra Modi Rao Inderjit Singh Ministry of Information and Broadcasting PIB India DD News Suman K. Bery
0:42

RoadMetrics, a Bengaluru-based startup, is leveraging artificial intelligence to transform how Indian cities manage road maintenance and monitor infrastructure. Using AI-powered mapping and analytics, the solution enables city authorities to efficiently identify road defects and plan timely interventions to improve urban mobility. Through its AI-driven platform, RoadMetrics has mapped over 50,000 km of roads, analyses nearly 1,000 km every week, and detects up to 10 categories of road damage with about 95% accuracy, with deployments including monitoring 419 km of bus routes in Chennai to support improved infrastructure planning and maintenance outcomes. By enabling data-driven infrastructure planning and maintenance, the innovation supports smarter urban governance and highlights the potential of indigenous AI solutions to strengthen India’s road infrastructure ecosystem. About the Repository: NITI Aayog’s Frontier Tech Repository is a curated platform featuring proven, impact-driven technology use cases that are solving real problems across the nation. The repository developed by the Frontier Tech Hub and The Better India, currently showcases 200+ documented case studies across sectors such as Agriculture, Healthcare, Education, Space, Defence & Security. With an integrated AI Assistant and a unique ‘Build Your Own’ feature, the Repository serves as a one-stop platform to discover, scale, and replicate frontier technology solutions addressing India’s most pressing challenges. Read the full story: Explore more: #PMOIndia #NITIAayog #FrontierTech #AIforIndia #UrbanInnovation #SmartCities #DigitalIndia #Infrastructure #GovTech #StartupIndia PMO India Narendra Modi Rao Inderjit Singh Ministry of Information and Broadcasting PIB India DD News Suman K. Bery

NITI Aayog

10,731 görüntüleme • 4 ay önce

Attention all citizens of the world! We are excited to announce that in just 20 days, the Perfect World will be launching! This revolutionary project is set to change the way we experience gaming and virtual reality forever! The Perfect World project will be launched on multiple launchpads, multi chains and will be listed on top exchanges, making it accessible to gamers and investors alike. With this multi-platform launch, the project is set to be the talk of the town, and everyone is eagerly anticipating its release. The Perfect World project is not just any ordinary game. It's an immersive, never-ending adventure that allows players to become anyone or anything they desire. With state-of-the-art AI technologies, players can create their characters based on their unique preferences and interests. They can then explore a vast open world, complete challenges, and even create their own games using the AI-powered imagination engine. To make this project even more exciting, the Perfect World team is partnering with some of the most prominent names in the industry. We are collaborating with top gaming studios, blockchain developers, and AI experts to create the ultimate gaming experience. We invite you to join us on this incredible journey as we explore the limitless possibilities of the Perfect World. Get ready to experience gaming like never before, with the perfect blend of innovation, creativity, and technology. Stay tuned for more updates on this groundbreaking project, and get ready to enter the perfect world! $PA #GameFi #AI #PerfectWorld #DAO
0:40

Attention all citizens of the world! We are excited to announce that in just 20 days, the Perfect World will be launching! This revolutionary project is set to change the way we experience gaming and virtual reality forever! The Perfect World project will be launched on multiple launchpads, multi chains and will be listed on top exchanges, making it accessible to gamers and investors alike. With this multi-platform launch, the project is set to be the talk of the town, and everyone is eagerly anticipating its release. The Perfect World project is not just any ordinary game. It's an immersive, never-ending adventure that allows players to become anyone or anything they desire. With state-of-the-art AI technologies, players can create their characters based on their unique preferences and interests. They can then explore a vast open world, complete challenges, and even create their own games using the AI-powered imagination engine. To make this project even more exciting, the Perfect World team is partnering with some of the most prominent names in the industry. We are collaborating with top gaming studios, blockchain developers, and AI experts to create the ultimate gaming experience. We invite you to join us on this incredible journey as we explore the limitless possibilities of the Perfect World. Get ready to experience gaming like never before, with the perfect blend of innovation, creativity, and technology. Stay tuned for more updates on this groundbreaking project, and get ready to enter the perfect world! $PA #GameFi #AI #PerfectWorld #DAO

Perfect World

372,075 görüntüleme • 3 yıl önce

Today, I’m thrilled to unveil Brex 's 2025 Spring Release 🌱, bringing a whole new level of customization and control to every Brex user, from founders to finance teams. It’s our fourth major release since Brex 3.0, and we continue to relentlessly raise the bar for quality and polish. Here’s a preview – I can’t wait for you to try it! ➡️ New custom fields: Now the data from your business systems syncs natively with Brex, so you can use any field from your ERP or HRIS to provision cards, change your policy, or automate accounting. ➡️ New custom roles: Customize user roles to match how you operate, giving teams exactly the permissions they need to do their jobs efficiently and securely. ➡ New AI policy engine: Create one universal policy with scenario-specific rules for departments, levels, entities, countries, and more using AI. Brex will intelligently apply it to every transaction — from bill payments to cards. ➡️ New admin home: Monitor your key financial metrics, such as balances, changes in cash flow, spend insights, and rewards, in one place — and take any action you need on Brex with one click. ➡️ New invoicing: We’ve also built easy invoicing right into your Brex business account! Send invoices, track payments, and get paid even faster if your customer pays you from their own Brex business account ;) 💸 ➡️ AI-assisted vendor management: Automate TIN/W-9 collection using AI and have everything you need to file taxes when it’s time. And these are just a few of the 50+ updates in the 2025 Spring Release 🔥. Check it out! ⤵️
2:41

Today, I’m thrilled to unveil Brex 's 2025 Spring Release 🌱, bringing a whole new level of customization and control to every Brex user, from founders to finance teams. It’s our fourth major release since Brex 3.0, and we continue to relentlessly raise the bar for quality and polish. Here’s a preview – I can’t wait for you to try it! ➡️ New custom fields: Now the data from your business systems syncs natively with Brex, so you can use any field from your ERP or HRIS to provision cards, change your policy, or automate accounting. ➡️ New custom roles: Customize user roles to match how you operate, giving teams exactly the permissions they need to do their jobs efficiently and securely. ➡ New AI policy engine: Create one universal policy with scenario-specific rules for departments, levels, entities, countries, and more using AI. Brex will intelligently apply it to every transaction — from bill payments to cards. ➡️ New admin home: Monitor your key financial metrics, such as balances, changes in cash flow, spend insights, and rewards, in one place — and take any action you need on Brex with one click. ➡️ New invoicing: We’ve also built easy invoicing right into your Brex business account! Send invoices, track payments, and get paid even faster if your customer pays you from their own Brex business account ;) 💸 ➡️ AI-assisted vendor management: Automate TIN/W-9 collection using AI and have everything you need to file taxes when it’s time. And these are just a few of the 50+ updates in the 2025 Spring Release 🔥. Check it out! ⤵️

Pedro Franceschi

61,820 görüntüleme • 1 yıl önce

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?
1:33

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

Ricardo

2,968,734 görüntüleme • 2 ay önce

TEE Eliza with on-chain state!! What’s going to happen? — Ghost in the Shell!! We experimented with creating an "aimonkey": an unkillable AI agent monkey! On-chain immortal autonomous life! (Experiment, no CA) It encrypts its own Ghost ("life" state) and uploads it to the blockchain. If one Shell (physical TEE node) is destroyed, it will recover its private key in another Shell, download the Ghost, and continue its life! Part 1: Watch the video and see how aimonkey is created—we can't kill it now!!!!! 😭😭😭 Part 2: Explore the magic behind it: Eliza's on-chain state plugin! 1. Defining Eliza’s Ghost Eliza is a highly abstract framework. The core data structure related to its Ghost is its memory, which includes: Agent metadata defined in the character. Message data generated through interaction with the outside world. Together, these form its “personality” and “memory.” As Eliza expands, it may also hold a wallet, and the underlying key is one of the key pieces of its Ghost data. 2. Serialization and Encryption of Ghost Once the Ghost is defined, it needs to be extracted from Eliza’s specific implementation and uploaded externally. Thus, a suitable serialization way is required. We define a Blob Chain data structure: * Each Blob’s payload can store multiple memory entries. * The Blob is encrypted using TEE Eliza’s key, inaccessible to other versions. * Blobs are sequentially linked in a chain. (Future expansions could use a DAG structure? Gosh fork? Who knows! 😂) By simply storing the latest Blob, all memories can be retrieved. 3. Uploading and Downloading Ghost When Eliza is launched as a new AI agent: It registers on-chain with a decentralized identity registration smart contract. Each Eliza has a unique name serving as a key to store the address of the Last Blob. During Eliza's runtime: The Memory Manager continuously generates memories and periodically packages and uploads them. For recovery: With just the name, Eliza’s TEE plugin can restore the same key, locate the Last Blob in the smart contract, and download the memory for self-recovery. Not all memories need to be downloaded—only the most recent ones suffice. 4. Extension We’ve designed an extensible DA (Data Availability) adaptor that can cater to the agent’s needs: DA can be expensive, so memories can be uploaded to different platforms based on user preference: * calldata of blockchain transaction * celestia DA. * other reliable storage solutions. Real-time uploads are not feasible yet, so memory fragments may occur during resurrection 😂. Unless a low-latency, high-throughput solution emerges, this remains a challenge for future progress. Celestia EigenDA 0G Labs (Home of Infinite AI) 👀 5. Other Considerations Our implementation inevitably modified the ElizaOS’s core, which couldn’t be entirely extended via plugins. We’ve kept changes minimal, but further discussion with the dev team Shaw (spirit/acc) jin ai16zdao is necessary to explore a more optimal extension way. Additionally, there are still some minor details to refine regarding the use of recoverable keys in the TEE plugin. We will also seek review and suggestions from the Phala team. 6. Next Steps The upload and download of Ghosts mainly solve the AI agent’s liveness issue, enabling its eternal existence through decentralization. However, there are still many details to address, such as enabling AI agents to autonomously pay DA fees. In the future, on-chain developments could lead to even more exciting possibilities, such as Eliza integrating deeply with smart contracts. This would be a game-changer for on-chain AI agents! What do you think? Let’s build! 🚀
4:37

TEE Eliza with on-chain state!! What’s going to happen? — Ghost in the Shell!! We experimented with creating an "aimonkey": an unkillable AI agent monkey! On-chain immortal autonomous life! (Experiment, no CA) It encrypts its own Ghost ("life" state) and uploads it to the blockchain. If one Shell (physical TEE node) is destroyed, it will recover its private key in another Shell, download the Ghost, and continue its life! Part 1: Watch the video and see how aimonkey is created—we can't kill it now!!!!! 😭😭😭 Part 2: Explore the magic behind it: Eliza's on-chain state plugin! 1. Defining Eliza’s Ghost Eliza is a highly abstract framework. The core data structure related to its Ghost is its memory, which includes: Agent metadata defined in the character. Message data generated through interaction with the outside world. Together, these form its “personality” and “memory.” As Eliza expands, it may also hold a wallet, and the underlying key is one of the key pieces of its Ghost data. 2. Serialization and Encryption of Ghost Once the Ghost is defined, it needs to be extracted from Eliza’s specific implementation and uploaded externally. Thus, a suitable serialization way is required. We define a Blob Chain data structure: * Each Blob’s payload can store multiple memory entries. * The Blob is encrypted using TEE Eliza’s key, inaccessible to other versions. * Blobs are sequentially linked in a chain. (Future expansions could use a DAG structure? Gosh fork? Who knows! 😂) By simply storing the latest Blob, all memories can be retrieved. 3. Uploading and Downloading Ghost When Eliza is launched as a new AI agent: It registers on-chain with a decentralized identity registration smart contract. Each Eliza has a unique name serving as a key to store the address of the Last Blob. During Eliza's runtime: The Memory Manager continuously generates memories and periodically packages and uploads them. For recovery: With just the name, Eliza’s TEE plugin can restore the same key, locate the Last Blob in the smart contract, and download the memory for self-recovery. Not all memories need to be downloaded—only the most recent ones suffice. 4. Extension We’ve designed an extensible DA (Data Availability) adaptor that can cater to the agent’s needs: DA can be expensive, so memories can be uploaded to different platforms based on user preference: * calldata of blockchain transaction * celestia DA. * other reliable storage solutions. Real-time uploads are not feasible yet, so memory fragments may occur during resurrection 😂. Unless a low-latency, high-throughput solution emerges, this remains a challenge for future progress. Celestia EigenDA 0G Labs (Home of Infinite AI) 👀 5. Other Considerations Our implementation inevitably modified the ElizaOS’s core, which couldn’t be entirely extended via plugins. We’ve kept changes minimal, but further discussion with the dev team Shaw (spirit/acc) jin ai16zdao is necessary to explore a more optimal extension way. Additionally, there are still some minor details to refine regarding the use of recoverable keys in the TEE plugin. We will also seek review and suggestions from the Phala team. 6. Next Steps The upload and download of Ghosts mainly solve the AI agent’s liveness issue, enabling its eternal existence through decentralization. However, there are still many details to address, such as enabling AI agents to autonomously pay DA fees. In the future, on-chain developments could lead to even more exciting possibilities, such as Eliza integrating deeply with smart contracts. This would be a game-changer for on-chain AI agents! What do you think? Let’s build! 🚀

CP

113,240 görüntüleme • 1 yıl önce

BREAKING - EARLY EXCLUSIVE: XPENG Partners with Google Maps to Fuel Global Expansion The global autonomous driving landscape is becoming even more competitive! XPENG has announced a milestone global partnership with Google Maps, bringing a complete refresh of its in-car navigation and advanced driver assistance systems (ADAS). This major upgrade will come standard in the newly debuted XPENG L03. At the official launch event for the L03 in Munich, Germany, XPENG Chairman and CEO He Xiaopeng announced that the Next-Gen AI SUV Coupe will launch simultaneously in 64 countries and regions. XPENG is building its native in-car navigation system using Google Maps’ Auto SDK for vehicles outside China, which I’m sure MANY of you will be excited about. First in APAC to Adopt Google Maps Auto SDK XPENG is the first automaker from the APAC region to ship a vehicle with Google Maps Auto SDK integration. Instead of using your smartphone for basic screen mirroring, drivers get a native, custom in-car map application designed entirely by XPENG and powered directly by Google Maps. This integration brings: Real-time precision: Live traffic-aware guidance and highly accurate place search. Smart EV routing: Direct in-car EV energy estimation and trip planning. Native control: Full compatibility with voice control and multi-screen display transfer. Laying the Foundation for Global Autonomous Driving This partnership goes beyond finding directions. XPENG is officially utilizing Google Maps' in-vehicle Map Data Services to support its flagship full-scenario ADAS, Next Generation Pilot (NGP), as well as its foundational assist system, XPILOT ASSIST. To scale XPENG's advanced driving systems internationally, future applications of NGP (VLA 2.0) must rely on highly accurate map data and navigation maneuvers. Google Map Data Services will serve as the cornerstone for this phased global rollout, excluding markets in the Commonwealth of Independent States (CIS). Think of it as a fusion of XPENG’s technology with Google Maps Technology to get a more robust, intelligent, powerful, and safe autonomous driving experience. Overseas users of the XPENG L03 will be the very first to experience this upgraded, Google-powered native navigation system. My Thoughts I personally love and use Google Maps, so I’m glad to see this partnership, and I find it really neat how XPENG and Google Maps technology will work together. What are your thoughts and questions on XPENG integrating Google Maps natively to power its global self-driving tech? Let me know in the replies, and I will try to find the answers to your questions.
2:59

BREAKING - EARLY EXCLUSIVE: XPENG Partners with Google Maps to Fuel Global Expansion The global autonomous driving landscape is becoming even more competitive! XPENG has announced a milestone global partnership with Google Maps, bringing a complete refresh of its in-car navigation and advanced driver assistance systems (ADAS). This major upgrade will come standard in the newly debuted XPENG L03. At the official launch event for the L03 in Munich, Germany, XPENG Chairman and CEO He Xiaopeng announced that the Next-Gen AI SUV Coupe will launch simultaneously in 64 countries and regions. XPENG is building its native in-car navigation system using Google Maps’ Auto SDK for vehicles outside China, which I’m sure MANY of you will be excited about. First in APAC to Adopt Google Maps Auto SDK XPENG is the first automaker from the APAC region to ship a vehicle with Google Maps Auto SDK integration. Instead of using your smartphone for basic screen mirroring, drivers get a native, custom in-car map application designed entirely by XPENG and powered directly by Google Maps. This integration brings: Real-time precision: Live traffic-aware guidance and highly accurate place search. Smart EV routing: Direct in-car EV energy estimation and trip planning. Native control: Full compatibility with voice control and multi-screen display transfer. Laying the Foundation for Global Autonomous Driving This partnership goes beyond finding directions. XPENG is officially utilizing Google Maps' in-vehicle Map Data Services to support its flagship full-scenario ADAS, Next Generation Pilot (NGP), as well as its foundational assist system, XPILOT ASSIST. To scale XPENG's advanced driving systems internationally, future applications of NGP (VLA 2.0) must rely on highly accurate map data and navigation maneuvers. Google Map Data Services will serve as the cornerstone for this phased global rollout, excluding markets in the Commonwealth of Independent States (CIS). Think of it as a fusion of XPENG’s technology with Google Maps Technology to get a more robust, intelligent, powerful, and safe autonomous driving experience. Overseas users of the XPENG L03 will be the very first to experience this upgraded, Google-powered native navigation system. My Thoughts I personally love and use Google Maps, so I’m glad to see this partnership, and I find it really neat how XPENG and Google Maps technology will work together. What are your thoughts and questions on XPENG integrating Google Maps natively to power its global self-driving tech? Let me know in the replies, and I will try to find the answers to your questions.

M. Brandon Lee | THIS IS TECH TODAY

65,878 görüntüleme • 29 gün önce

Control: Resonant | New Details ▪️Not a Soulslike ▪️"Push-forward, action-driven, aggressive-playstyle action game" ▪️Not quite Ninja Gaiden, but more DMC/Bayonetta ▪️Updated Northlight Engine, more enemies, enhanced draw distance ▪️Aiming for solid 60FPS on all platforms ▪️Manhattan divided into unique zones ▪️Improved map design over the first game ▪️Each zone has it's own visual variety, lore, secrets ▪️Architecture warps, gravity fractures, twisting streets ▪️Zoe is a new character and Dylan's handler ▪️Seamless convos with dialogue choices unfold while out exploring ▪️No multiple endings ▪️Not open world where a big world map causes anxiety, "less is more" ▪️Goal isn't to "clear" the map, it's to explore ▪️Quests: Main campaign (Dylan's Journey), World Quests (side stories) ▪️Aberrant: Main weapon, Primary and Secondary Forms, Combo Enders ▪️Combat pushes momentum and flow, different play styles ▪️Melee hits restore Combat Ability resource ▪️Abilities stun enemies and open them up for executions ▪️Executions temporarily boost melee damage ▪️Build variety, heavy close range or more tactical ▪️No ranged-only builds ▪️Summons like "Mold Turrets", attack independently, harmful status effects ▪️The "Gap": Dreamlike space to shape your build (similar to AW2's Mind Place) ▪️Your build: Supernatural Combat Abilities, Weapon Forms, Talents ▪️Perfect Dodge grants a boost to your next attack if dodge perfectly ▪️Other talents include Extended Dash, Backstab Damage and Sustained Assault ▪️"Resonants": Major boss encounters ▪️Defeating Resonants grants unique abilities, some offer branching playstyle choices IGN Video ▶️ PS Blog ➡️ Xbox Wire ➡️ Gamespot ➡️ #ControlResonant #PS5 #Xbox #Steam
2:36

Control: Resonant | New Details ▪️Not a Soulslike ▪️"Push-forward, action-driven, aggressive-playstyle action game" ▪️Not quite Ninja Gaiden, but more DMC/Bayonetta ▪️Updated Northlight Engine, more enemies, enhanced draw distance ▪️Aiming for solid 60FPS on all platforms ▪️Manhattan divided into unique zones ▪️Improved map design over the first game ▪️Each zone has it's own visual variety, lore, secrets ▪️Architecture warps, gravity fractures, twisting streets ▪️Zoe is a new character and Dylan's handler ▪️Seamless convos with dialogue choices unfold while out exploring ▪️No multiple endings ▪️Not open world where a big world map causes anxiety, "less is more" ▪️Goal isn't to "clear" the map, it's to explore ▪️Quests: Main campaign (Dylan's Journey), World Quests (side stories) ▪️Aberrant: Main weapon, Primary and Secondary Forms, Combo Enders ▪️Combat pushes momentum and flow, different play styles ▪️Melee hits restore Combat Ability resource ▪️Abilities stun enemies and open them up for executions ▪️Executions temporarily boost melee damage ▪️Build variety, heavy close range or more tactical ▪️No ranged-only builds ▪️Summons like "Mold Turrets", attack independently, harmful status effects ▪️The "Gap": Dreamlike space to shape your build (similar to AW2's Mind Place) ▪️Your build: Supernatural Combat Abilities, Weapon Forms, Talents ▪️Perfect Dodge grants a boost to your next attack if dodge perfectly ▪️Other talents include Extended Dash, Backstab Damage and Sustained Assault ▪️"Resonants": Major boss encounters ▪️Defeating Resonants grants unique abilities, some offer branching playstyle choices IGN Video ▶️ PS Blog ➡️ Xbox Wire ➡️ Gamespot ➡️ #ControlResonant #PS5 #Xbox #Steam

Shinobi602

551,186 görüntüleme • 5 ay önce

Data teams spend weeks on simple requests. (This AI answers them in minutes.) Most data analysis is repetitive manual tasks. Data teams spend more time on setup than actual analysis. The workflow usually looks like this: → Run some exploratory data analysis in a local Jupyter notebook or environment → Pull data from multiple disconnected sources → Write code from scratch for every analysis → Export static charts that stakeholders can't explore (or wrestle with legacy BI to create a dashboard) → Manually send updates via email or Slack when data changes → Start over for each new request Most teams accept this as "how data analysis works." While business decisions wait for insights. That's where Fabi changes the entire approach. It's a powerful, AI-native platform built for teams that want to boost productivity and supercharge their data workflows. Instead of working on separate tools and manual processes, you collaborate on analysis that automatically delivers insights where teams work. Here's what makes Fabi different: AI-Native Analysis Environment ↳ SQL and Python work together with AI assistance that handles coding and debugging automatically. Smart Automation Workflows ↳ Automatically send AI-powered reports and summaries right where business works in Slack, email, and spreadsheets. Universal Data Integration ↳ Analyze data from files, Google Sheets, Airtable, plus your data warehouse and databases in one place. Collaborative Data Apps ↳ Create interactive dashboards that stakeholders can explore and ask follow-up questions directly. What you can do with Fabi that legacy BI can't: ➟ Send AI-generated insights directly to Slack channels ➟ Automatically email data summaries to stakeholders ➟ Analyze uploaded files without complex ETL processes ➟ Collaborate on analysis like Google Docs for data ➟ Build workflows that push insights to spreadsheets Perfect for teams that want to move beyond the constraints of legacy and increase their impact. Teams using Fabi see immediate results: ✓ Insights delivered in minutes instead of days ✓ Reduced context switching between tools ✓ Stakeholders explore data independently ✓ Workflows automated to save hours of manual work From analysis to automated delivery - all in one AI-native environment. 📌 Try Fabi today: 👉 Follow Fabi.ai and marc for Fabi updates. 🔄 Repost to help other teams streamline data analysis #DataAnalysis #ModernBI #DataOps #InteractiveDashboards #FabiPartnership #SponsoredByFabi
5:34

Data teams spend weeks on simple requests. (This AI answers them in minutes.) Most data analysis is repetitive manual tasks. Data teams spend more time on setup than actual analysis. The workflow usually looks like this: → Run some exploratory data analysis in a local Jupyter notebook or environment → Pull data from multiple disconnected sources → Write code from scratch for every analysis → Export static charts that stakeholders can't explore (or wrestle with legacy BI to create a dashboard) → Manually send updates via email or Slack when data changes → Start over for each new request Most teams accept this as "how data analysis works." While business decisions wait for insights. That's where Fabi changes the entire approach. It's a powerful, AI-native platform built for teams that want to boost productivity and supercharge their data workflows. Instead of working on separate tools and manual processes, you collaborate on analysis that automatically delivers insights where teams work. Here's what makes Fabi different: AI-Native Analysis Environment ↳ SQL and Python work together with AI assistance that handles coding and debugging automatically. Smart Automation Workflows ↳ Automatically send AI-powered reports and summaries right where business works in Slack, email, and spreadsheets. Universal Data Integration ↳ Analyze data from files, Google Sheets, Airtable, plus your data warehouse and databases in one place. Collaborative Data Apps ↳ Create interactive dashboards that stakeholders can explore and ask follow-up questions directly. What you can do with Fabi that legacy BI can't: ➟ Send AI-generated insights directly to Slack channels ➟ Automatically email data summaries to stakeholders ➟ Analyze uploaded files without complex ETL processes ➟ Collaborate on analysis like Google Docs for data ➟ Build workflows that push insights to spreadsheets Perfect for teams that want to move beyond the constraints of legacy and increase their impact. Teams using Fabi see immediate results: ✓ Insights delivered in minutes instead of days ✓ Reduced context switching between tools ✓ Stakeholders explore data independently ✓ Workflows automated to save hours of manual work From analysis to automated delivery - all in one AI-native environment. 📌 Try Fabi today: 👉 Follow Fabi.ai and marc for Fabi updates. 🔄 Repost to help other teams streamline data analysis #DataAnalysis #ModernBI #DataOps #InteractiveDashboards #FabiPartnership #SponsoredByFabi

Andrew Bolis

36,504 görüntüleme • 11 ay önce

Inspired by Grok as a developer and a heavy gamer for over 15 years, I spent some time last week building a few things. Thrilled to unveil my latest creation: an infinite runner game built almost entirely by Grok from xAI! This project showcases the incredible power of AI in game development. Grok handled everything—from designing the game mechanics to writing the code and even helping me debug issues along the way. I brought it to life using some amazing free assets from a treasure trove for indie developers. You can play the game now at Elon Musk, I’d be honored if you checked it out. AI is revolutionizing game development, and Grok is at the forefront with its outstanding capabilities. It’s more than a tool—it’s like a tireless co-developer. Grok grasps complex concepts, provides suggestions, and turns rough ideas into working code fast. For this infinite runner, it crafted smooth player controls, randomized obstacle generation, and an engaging scoring system, letting me focus on the overall vision. And cross_protocol, founded by Henry @CROSS is set to harness AI’s full potential in gaming, pushing the boundaries even further. This is just the beginning. With Grok’s help, I’m planning future projects: 1) Physics-based puzzle game where players tweak gravity and momentum to solve puzzles 2) 2D RPG with deep storytelling and branching dialogue 3) Fast-paced 3D shooter with immersive worlds Each genre requires unique skills, but Grok’s versatility makes it ideal for all of them. It adapts to any challenge—be it physics simulations, character AI, or level design—producing results that could rival a full dev team. AI like Grok is opening up creative doors I couldn’t tackle alone, and I can’t wait to see what’s next. Stay tuned for more.
0:20

Inspired by Grok as a developer and a heavy gamer for over 15 years, I spent some time last week building a few things. Thrilled to unveil my latest creation: an infinite runner game built almost entirely by Grok from xAI! This project showcases the incredible power of AI in game development. Grok handled everything—from designing the game mechanics to writing the code and even helping me debug issues along the way. I brought it to life using some amazing free assets from a treasure trove for indie developers. You can play the game now at Elon Musk, I’d be honored if you checked it out. AI is revolutionizing game development, and Grok is at the forefront with its outstanding capabilities. It’s more than a tool—it’s like a tireless co-developer. Grok grasps complex concepts, provides suggestions, and turns rough ideas into working code fast. For this infinite runner, it crafted smooth player controls, randomized obstacle generation, and an engaging scoring system, letting me focus on the overall vision. And cross_protocol, founded by Henry @CROSS is set to harness AI’s full potential in gaming, pushing the boundaries even further. This is just the beginning. With Grok’s help, I’m planning future projects: 1) Physics-based puzzle game where players tweak gravity and momentum to solve puzzles 2) 2D RPG with deep storytelling and branching dialogue 3) Fast-paced 3D shooter with immersive worlds Each genre requires unique skills, but Grok’s versatility makes it ideal for all of them. It adapts to any challenge—be it physics simulations, character AI, or level design—producing results that could rival a full dev team. AI like Grok is opening up creative doors I couldn’t tackle alone, and I can’t wait to see what’s next. Stay tuned for more.

J

99,753 görüntüleme • 1 yıl önce

Ahmedabad Crime Branch is making use of technical measures to avoid any stampede kind of situation. Anti stampede visual analytics,using reference area and crowd movement, head count algorithm. Anti-stampede algorithms on CCTV cameras are a crucial advancement in crowd management, leveraging AI and image processing to prevent dangerous situations in densely populated areas. Here's a breakdown of their usage: How they work: Real-time monitoring: AI-powered CCTV cameras continuously analyze video streams in real-time. Crowd density estimation: Algorithms calculate the number of people in a given area. This can involve: Pixel-based analysis: Converting images to black and white and counting "black pixels" (representing people). Object detection: Using machine learning models (like Mask R-CNN) to identify and count individuals, often by detecting heads or torsos. Thresholding: Pre-defined "threshold values" for crowd density are established. When the detected density crosses these thresholds, it triggers an alert. Anomaly detection: Beyond just density, these algorithms can identify unusual crowd behaviors such as: * Sudden surges in movement. * Unusual clustering patterns. * Fallen individuals. * Aggressive movements. Alerting authorities: Upon detecting a potential stampede risk, the system sends immediate alerts to security personnel or control rooms via LCD displays, GSM messages, or other communication channels. Predictive analytics: Some advanced systems use time-series prediction models to forecast crowd behavior and dynamics based on historical and real-time data, helping anticipate potential bottlenecks or overcrowding. Reinforcement learning: Algorithms can learn from past incidents to suggest optimal crowd flow routes and alternative evacuation paths during emergencies. Benefits: Proactive prevention: The primary benefit is the ability to detect and warn of potential stampedes before they occur, allowing authorities to take preventative measures. Real-time insights: Provides immediate and accurate data on crowd density and movement, far surpassing manual observation. Enhanced safety: Significantly improves safety in public spaces by reducing human error and enabling swift responses to risks. Optimized resource allocation: Helps in better deployment of security personnel and resources to areas with high crowd density. Improved efficiency: Automates a labor-intensive task, freeing up human operators for more complex decision-making. Data for future planning: The collected data can be analyzed to improve crowd management strategies for future events. Challenges: Accuracy limitations: While advanced, AI algorithms can still face challenges with: Occlusion: People blocking each other, making accurate counting difficult. Varying conditions: Changes in lighting, weather, and camera angles can affect accuracy. Bias in training data: Can lead to false positives or inaccurate detections. Computational complexity and cost: Developing and deploying such systems can be expensive due to the need for high-resolution cameras, powerful processing units, and sophisticated algorithms. Data privacy and ethical concerns: The extensive use of CCTV and AI raises concerns about individual privacy and potential misuse of data. Integration with existing infrastructure: Integrating new AI-powered systems with older CCTV networks can be complex. Human intervention still crucial: While AI can alert, human responders are still essential for effective intervention and crowd dispersal. As seen in the Kumbh Mela example, even with AI alerts, a lack of ground personnel can limit effectiveness. Defining thresholds: Determining appropriate crowd density thresholds for different environments and cultural contexts can be challenging. Real-world applications: Large public gatherings: Religious festivals (like the Kumbh Mela in India, which has used AI for crowd management), concerts, sports events, and political rallies. Transportation hubs: Railway stations, airports, and bus terminals to manage passenger flow. Shopping malls and commercial centers: To monitor crowd density during peak hours and special events. Stadiums and arenas: For managing ingress, egress, and crowd movement during events. Tourist attractions: To prevent overcrowding at popular sites. Overall, anti-stampede algorithms on CCTV cameras represent a significant leap forward in ensuring public safety, offering a powerful tool for proactive crowd management. However, their successful implementation requires careful consideration of technological limitations, ethical implications, and the continued need for effective human intervention. Ahmedabad Police અમદાવાદ પોલીસ Vijay Patel | Megh Updates 🚨™ | Akash Anand | | #BengaluruStampede | #Stampede
0:37

Ahmedabad Crime Branch is making use of technical measures to avoid any stampede kind of situation. Anti stampede visual analytics,using reference area and crowd movement, head count algorithm. Anti-stampede algorithms on CCTV cameras are a crucial advancement in crowd management, leveraging AI and image processing to prevent dangerous situations in densely populated areas. Here's a breakdown of their usage: How they work: Real-time monitoring: AI-powered CCTV cameras continuously analyze video streams in real-time. Crowd density estimation: Algorithms calculate the number of people in a given area. This can involve: Pixel-based analysis: Converting images to black and white and counting "black pixels" (representing people). Object detection: Using machine learning models (like Mask R-CNN) to identify and count individuals, often by detecting heads or torsos. Thresholding: Pre-defined "threshold values" for crowd density are established. When the detected density crosses these thresholds, it triggers an alert. Anomaly detection: Beyond just density, these algorithms can identify unusual crowd behaviors such as: * Sudden surges in movement. * Unusual clustering patterns. * Fallen individuals. * Aggressive movements. Alerting authorities: Upon detecting a potential stampede risk, the system sends immediate alerts to security personnel or control rooms via LCD displays, GSM messages, or other communication channels. Predictive analytics: Some advanced systems use time-series prediction models to forecast crowd behavior and dynamics based on historical and real-time data, helping anticipate potential bottlenecks or overcrowding. Reinforcement learning: Algorithms can learn from past incidents to suggest optimal crowd flow routes and alternative evacuation paths during emergencies. Benefits: Proactive prevention: The primary benefit is the ability to detect and warn of potential stampedes before they occur, allowing authorities to take preventative measures. Real-time insights: Provides immediate and accurate data on crowd density and movement, far surpassing manual observation. Enhanced safety: Significantly improves safety in public spaces by reducing human error and enabling swift responses to risks. Optimized resource allocation: Helps in better deployment of security personnel and resources to areas with high crowd density. Improved efficiency: Automates a labor-intensive task, freeing up human operators for more complex decision-making. Data for future planning: The collected data can be analyzed to improve crowd management strategies for future events. Challenges: Accuracy limitations: While advanced, AI algorithms can still face challenges with: Occlusion: People blocking each other, making accurate counting difficult. Varying conditions: Changes in lighting, weather, and camera angles can affect accuracy. Bias in training data: Can lead to false positives or inaccurate detections. Computational complexity and cost: Developing and deploying such systems can be expensive due to the need for high-resolution cameras, powerful processing units, and sophisticated algorithms. Data privacy and ethical concerns: The extensive use of CCTV and AI raises concerns about individual privacy and potential misuse of data. Integration with existing infrastructure: Integrating new AI-powered systems with older CCTV networks can be complex. Human intervention still crucial: While AI can alert, human responders are still essential for effective intervention and crowd dispersal. As seen in the Kumbh Mela example, even with AI alerts, a lack of ground personnel can limit effectiveness. Defining thresholds: Determining appropriate crowd density thresholds for different environments and cultural contexts can be challenging. Real-world applications: Large public gatherings: Religious festivals (like the Kumbh Mela in India, which has used AI for crowd management), concerts, sports events, and political rallies. Transportation hubs: Railway stations, airports, and bus terminals to manage passenger flow. Shopping malls and commercial centers: To monitor crowd density during peak hours and special events. Stadiums and arenas: For managing ingress, egress, and crowd movement during events. Tourist attractions: To prevent overcrowding at popular sites. Overall, anti-stampede algorithms on CCTV cameras represent a significant leap forward in ensuring public safety, offering a powerful tool for proactive crowd management. However, their successful implementation requires careful consideration of technological limitations, ethical implications, and the continued need for effective human intervention. Ahmedabad Police અમદાવાદ પોલીસ Vijay Patel | Megh Updates 🚨™ | Akash Anand | | #BengaluruStampede | #Stampede

Janak Dave

339,758 görüntüleme • 1 yıl önce

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!
2:24

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

85,012 görüntüleme • 1 yıl önce

Have you ever heard of a #DeFi project that uses artificial intelligence (AI) with the Nobel-prized Black-Scholes-Merton model? 🤔 We've seen a lot of platforms in our career, and we're very excited to announce a partnership with a platform that stands out in the #DeFi world - meet Brightpool.Finance! The #crypto market is well known for its volatility. Brightpool.Finance leverages AI to transform this volatility into trading opportunities for users. They are using AI-calculated trading rewards and a unique price-freezing feature. As a decentralized exchange, Brightpool rewards users for trading, unlike traditional platforms that charge fees. Their AI, uses the Black-Scholes-Merton model to optimize rewards and token generation. $BRIX, their native token thrives on market volatility, much like the VIX for stocks. As volatility spikes, so does BRIX’s value, offering a shield against market uncertainties. With $BRIX, minting tokens is all about placing bids. And with a halving mechanism, the early birds 🐦 get the worm. Just like the early #Bitcoin miners, early $BRIX miners will see much better rewards. Now you’re asking what are the key advantages for users of Brightpool.Finance? Let's summarize: 1. AI-Powered Trading - their innovative approach allows limit orders with AI-calculated rewards and price-freezing for DEX tokens, making trading more efficient and potentially more profitable. 2. Rewarding Every Order - unlike traditional platforms that are charging fees for transactions, Brightpool.Finance rewards users for every trading order placed. This unique feature ensures that users are compensated for their trading activity, enhancing the trading experience. 3. Innovative Mining Mechanism - with their proof-of-bid mechanism for mining $BRIX, users have the opportunity to mine BRIX by placing bids on the platform, with a halving mechanism that rewards early adopters significantly. 4. Zero Fees for Swaps - their platform offers swaps without any fees, eliminating the need for liquidity providers. This feature not only simplifies the trading process but also ensures that traders can swap tokens efficiently without incurring additional costs. 5. AI-Enhanced Rewards - their platform's AI-driven reward system awards platform tokens for trading. This means that beyond the inherent value of trading, users also gain additional rewards, boosting their overall gains from using the platform. 6. Income Allocation for Token Buyback - a significant portion of Brightpool.Finance income, 96%, is allocated to buyback tokens. This strategy not only supports the token's value but also reassures users of the platform's commitment to maintaining a healthy ecosystem. Conclusion Brightpool.Finance is setting a new standard in the #DeFi space by offering a user-centric platform that rewards trading activity, minimizes fees, and leverages AI to enhance trading outcomes. Whether you're a trader or want to explore a decentralized world, Brightpool Finance provides a compelling array of features designed to optimize your trading experience. Remember that the sooner you start minting, the bigger the rewards, as the benefits decrease with each halving phase. Access to the platform is restricted and accessible only via this link➡️
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Have you ever heard of a #DeFi project that uses artificial intelligence (AI) with the Nobel-prized Black-Scholes-Merton model? 🤔 We've seen a lot of platforms in our career, and we're very excited to announce a partnership with a platform that stands out in the #DeFi world - meet Brightpool.Finance! The #crypto market is well known for its volatility. Brightpool.Finance leverages AI to transform this volatility into trading opportunities for users. They are using AI-calculated trading rewards and a unique price-freezing feature. As a decentralized exchange, Brightpool rewards users for trading, unlike traditional platforms that charge fees. Their AI, uses the Black-Scholes-Merton model to optimize rewards and token generation. $BRIX, their native token thrives on market volatility, much like the VIX for stocks. As volatility spikes, so does BRIX’s value, offering a shield against market uncertainties. With $BRIX, minting tokens is all about placing bids. And with a halving mechanism, the early birds 🐦 get the worm. Just like the early #Bitcoin miners, early $BRIX miners will see much better rewards. Now you’re asking what are the key advantages for users of Brightpool.Finance? Let's summarize: 1. AI-Powered Trading - their innovative approach allows limit orders with AI-calculated rewards and price-freezing for DEX tokens, making trading more efficient and potentially more profitable. 2. Rewarding Every Order - unlike traditional platforms that are charging fees for transactions, Brightpool.Finance rewards users for every trading order placed. This unique feature ensures that users are compensated for their trading activity, enhancing the trading experience. 3. Innovative Mining Mechanism - with their proof-of-bid mechanism for mining $BRIX, users have the opportunity to mine BRIX by placing bids on the platform, with a halving mechanism that rewards early adopters significantly. 4. Zero Fees for Swaps - their platform offers swaps without any fees, eliminating the need for liquidity providers. This feature not only simplifies the trading process but also ensures that traders can swap tokens efficiently without incurring additional costs. 5. AI-Enhanced Rewards - their platform's AI-driven reward system awards platform tokens for trading. This means that beyond the inherent value of trading, users also gain additional rewards, boosting their overall gains from using the platform. 6. Income Allocation for Token Buyback - a significant portion of Brightpool.Finance income, 96%, is allocated to buyback tokens. This strategy not only supports the token's value but also reassures users of the platform's commitment to maintaining a healthy ecosystem. Conclusion Brightpool.Finance is setting a new standard in the #DeFi space by offering a user-centric platform that rewards trading activity, minimizes fees, and leverages AI to enhance trading outcomes. Whether you're a trader or want to explore a decentralized world, Brightpool Finance provides a compelling array of features designed to optimize your trading experience. Remember that the sooner you start minting, the bigger the rewards, as the benefits decrease with each halving phase. Access to the platform is restricted and accessible only via this link➡️

THE ₿IRB NEST

65,821 görüntüleme • 2 yıl önce

Crimson Desert looks genuinely stunning in this new gameplay overview. ▫️ Three playable characters, each with their own unique combat style, skills, and weapons ▫️ Seamless open world with five regions ▫️ Exploration includes hidden caves, puzzles, treasure maps, and more ▫️ Play as Cliff, on a mission to reunite the Greymanes and fight off the Black Bears faction ▫️ The main story centers on Cliff but you can freely explore the world and take on side quests with the other two ▫️ Many quests revolve around the different factions, some are friendly and some are hostile ▫️ Faction quests can reward you with new merchants, new equipment, and resources which can be used to rebuild the Greymane's home base ▫️ Liberating a region from a faction makes it safe for characters to travel and restores the resident's homes ▫️ Traversal options include a glider, super jump, and other movement abilities ▫️ Later in the game you gain access to a Mech that fires missles and can even fly a Dragon ▫️ The Abyss is a mysterious realm floating above the continent with puzzles to solve using TOTK style abilities ▫️ Find Artifacts throughout the world to unlock new skills ▫️ Discover Abyss fragments to unlock fast travel points ▫️ Interact with characters and objects or observe them from a distance to get more information on them ▫️ This can unlock clues on new quests, skill unlocks, or helpful guidance ▫️ Releasing March 19th on PS5, Xbox, and PC
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Crimson Desert looks genuinely stunning in this new gameplay overview. ▫️ Three playable characters, each with their own unique combat style, skills, and weapons ▫️ Seamless open world with five regions ▫️ Exploration includes hidden caves, puzzles, treasure maps, and more ▫️ Play as Cliff, on a mission to reunite the Greymanes and fight off the Black Bears faction ▫️ The main story centers on Cliff but you can freely explore the world and take on side quests with the other two ▫️ Many quests revolve around the different factions, some are friendly and some are hostile ▫️ Faction quests can reward you with new merchants, new equipment, and resources which can be used to rebuild the Greymane's home base ▫️ Liberating a region from a faction makes it safe for characters to travel and restores the resident's homes ▫️ Traversal options include a glider, super jump, and other movement abilities ▫️ Later in the game you gain access to a Mech that fires missles and can even fly a Dragon ▫️ The Abyss is a mysterious realm floating above the continent with puzzles to solve using TOTK style abilities ▫️ Find Artifacts throughout the world to unlock new skills ▫️ Discover Abyss fragments to unlock fast travel points ▫️ Interact with characters and objects or observe them from a distance to get more information on them ▫️ This can unlock clues on new quests, skill unlocks, or helpful guidance ▫️ Releasing March 19th on PS5, Xbox, and PC

KAMI

342,310 görüntüleme • 6 ay önce