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Edge AI shifts intelligence directly into devices, allowing them to interpret and respond in real time—a direction that favors agility, reduces dependency on the cloud, and aligns with natural human-machine interaction. More: T-Mobile Business #TFBPartner Edge AI brings machine learning to the source of data generation, enabling devices to...

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Antonio Grasso

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20,325 görüntüleme • 1 yıl önce •via X (Twitter)

Sağlık & İyilikBilim & TeknolojiEğitim#TFBPartner
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Antonio Grasso profil fotoğrafı
Antonio Grasso1 yıl önce

When devices think locally thanks to Edge AI, they react faster and gain a kind of independence that opens new scenarios in industrial automation and real-time analytics.

VistaShares profil fotoğrafı
VistaShares1 yıl önce

AIS provides exposure to companies at the forefront of artificial intelligence—spanning semiconductors, data centers, and AI-enabled applications. Consider how AIS may align with your investment strategy.

Carmen Di Nardo profil fotoğrafı
Carmen Di Nardo1 yıl önce

@TMobileBusiness Automation and AI can truly accelerate business only when supported by efficient and timely data collection, processing, and analysis. In this context, edge computing plays a key role—it lays the foundation for truly intelligent automation. Great share, Antonio.

Sumon Kabir profil fotoğrafı
Sumon Kabir1 yıl önce

@TMobileBusiness Impressive impact on real-time decision making. Exciting advancements!

Altiam Kabir profil fotoğrafı
Altiam Kabir1 yıl önce

@TMobileBusiness Love how Edge AI enhances real-time responses & human-machine interaction! Exciting advancements!

The Regularizer profil fotoğrafı
The Regularizer1 yıl önce

@TMobileBusiness Are we ready for a world where our toasters outsmart our phones? 🤔 Edge AI is turning everyday gadgets into mini-geniuses! What’s the first device you’d want to see get a smart upgrade? 🚀 #NextGenTech

Sumon Kabir profil fotoğrafı
Sumon Kabir1 yıl önce

@TMobileBusiness Great insight on the benefits of Edge AI! Real-time responses and personalized experiences are game-changers in various industries.

Anthara Fairooz profil fotoğrafı
Anthara Fairooz1 yıl önce

@TMobileBusiness Impressive shift towards real-time interaction & reduced cloud dependency. Great potential for agility & human-machine alignment.

Altiam Kabir profil fotoğrafı
Altiam Kabir1 yıl önce

@TMobileBusiness Exciting advancements in real-time intelligence! Human-machine interaction at its best.

Algoworks profil fotoğrafı
Algoworks1 yıl önce

@TMobileBusiness Edge AI is a game-changer—real-time responsiveness without the cloud lag opens up huge possibilities for smarter, faster interactions. #ArtificialInteligence #edge #5g #CloudComputing #edgeai

Rediminds, Inc profil fotoğrafı
Rediminds, Inc1 yıl önce

@TMobileBusiness Love how pushing the model to the edge flips the script: the data never leaves, yet the insight arrives faster than the next heartbeat or shipment scan. Real-time smarts, zero detours; that’s the kind of progress that makes innovation feel human-scaled again.

Benzer Videolar

Instead of all AI running in centralized data centers... We're moving to "edge computing" - where AI runs directly on devices. Imagine your smart home devices, cars, and phones all running their own AI models. The implications are massive:
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Instead of all AI running in centralized data centers... We're moving to "edge computing" - where AI runs directly on devices. Imagine your smart home devices, cars, and phones all running their own AI models. The implications are massive:

GC Cooke

129,834 görüntüleme • 1 yıl önce

GROK AI Grok—the advanced AI model by Elon Musk’s is now officially integrated with AGIX! 🎉 What this means: 🌐 Real-time X data processing, making AGIX smarter and faster. 🤖 Adaptive learning capabilities, driving more powerful decisions. 🚀 A leap forward in our mission to deliver the most cutting-edge AI in Web3 and beyond. Together, GROK and AGIX are shaping the future of AI!
0:35

GROK AI Grok—the advanced AI model by Elon Musk’s is now officially integrated with AGIX! 🎉 What this means: 🌐 Real-time X data processing, making AGIX smarter and faster. 🤖 Adaptive learning capabilities, driving more powerful decisions. 🚀 A leap forward in our mission to deliver the most cutting-edge AI in Web3 and beyond. Together, GROK and AGIX are shaping the future of AI!

AGIX | $AGX

25,514 görüntüleme • 1 yıl önce

⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.
0:29

⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

OptimAI Network

43,606 görüntüleme • 10 ay önce

Introducing The Kyndryl Agentic AI Framework: built to help enterprises scale agentic AI with confidence on-prem, in the cloud or hybrid. Powered by insights from Kyndryl Bridge, our framework deploys self-learning AI agents that adapt in real-time, working alongside human teams to drive smarter operations and faster decisions. Read more about this news: #TheHeartOfProgress
1:05

Introducing The Kyndryl Agentic AI Framework: built to help enterprises scale agentic AI with confidence on-prem, in the cloud or hybrid. Powered by insights from Kyndryl Bridge, our framework deploys self-learning AI agents that adapt in real-time, working alongside human teams to drive smarter operations and faster decisions. Read more about this news: #TheHeartOfProgress

Kyndryl

14,150 görüntüleme • 1 yıl önce

🌩️ Edge AI Network on Solana Captures 10 Million Vehicles Daily 375ai processes real-time highway traffic across 40,000 US billboard locations with 250,000+ mobile contributors, turning the physical world into structured data. NVIDIA edge devices compress 1TB of video into 35MB of insights daily while preserving privacy through local processing. "Cities, enterprises, and governments need real-time intelligence to understand the physical world as it unfolds." Full Interview:
30:46

🌩️ Edge AI Network on Solana Captures 10 Million Vehicles Daily 375ai processes real-time highway traffic across 40,000 US billboard locations with 250,000+ mobile contributors, turning the physical world into structured data. NVIDIA edge devices compress 1TB of video into 35MB of insights daily while preserving privacy through local processing. "Cities, enterprises, and governments need real-time intelligence to understand the physical world as it unfolds." Full Interview:

Generation Infinity

181,518 görüntüleme • 5 ay önce

🚀 Introducing Dexa AI The future of crypto intelligence is here. Dexa AI transforms complex on-chain data, market signals, and sentiment into clear, actionable insights — giving traders and researchers the edge they need in fast-moving markets. Smarter research. Faster decisions. Real intelligence. Watch the vision unfold. 👇 #DexaAI #AI #Crypto #Web3 #OnChainAnalytics
0:31

🚀 Introducing Dexa AI The future of crypto intelligence is here. Dexa AI transforms complex on-chain data, market signals, and sentiment into clear, actionable insights — giving traders and researchers the edge they need in fast-moving markets. Smarter research. Faster decisions. Real intelligence. Watch the vision unfold. 👇 #DexaAI #AI #Crypto #Web3 #OnChainAnalytics

Dexa AI

15,070 görüntüleme • 5 ay önce

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries
0:59

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

Daniel

151,698 görüntüleme • 7 ay önce

As a leader in embedded computing, AMD empowers developers and engineers to unlock the full potential of AI at the edge. Our embedded portfolio of adaptive SoCs and x86 processor solutions are designed to accelerate insights from data, enabling real-time decision-making, ensuring you maximize productivity and innovation in every project, across industrial, healthcare, space, automotive, and more. 🎥 Dive into our latest video to see how we’re pioneering AI innovation at the edge and setting the standard for what’s possible. #TogetherWeAdvance #AI #Edge
0:41

As a leader in embedded computing, AMD empowers developers and engineers to unlock the full potential of AI at the edge. Our embedded portfolio of adaptive SoCs and x86 processor solutions are designed to accelerate insights from data, enabling real-time decision-making, ensuring you maximize productivity and innovation in every project, across industrial, healthcare, space, automotive, and more. 🎥 Dive into our latest video to see how we’re pioneering AI innovation at the edge and setting the standard for what’s possible. #TogetherWeAdvance #AI #Edge

AMD Embedded

16,675 görüntüleme • 11 ay önce

What happens when AI works alongside people? 🤝 Brandon Hootman, VP of Data & AI at CaterpillarInc, shares how AI agents on excavators at the edge, powered by NVIDIA Thor, provide real-time feedback and assistance to make jobsites safer and more efficient. 🎧 Listen to the NVIDIA AI Podcast
0:38

What happens when AI works alongside people? 🤝 Brandon Hootman, VP of Data & AI at CaterpillarInc, shares how AI agents on excavators at the edge, powered by NVIDIA Thor, provide real-time feedback and assistance to make jobsites safer and more efficient. 🎧 Listen to the NVIDIA AI Podcast

NVIDIA Robotics

12,667 görüntüleme • 6 ay önce

Elon Musk: In 5-6 years, the phone becomes an AI edge node — basically a screen and audio "no apps, no operating systems" a cloud AI talks to your on-device AI, generating real-time video you'll get everything through AI that anticipates what you want
1:46

Elon Musk: In 5-6 years, the phone becomes an AI edge node — basically a screen and audio "no apps, no operating systems" a cloud AI talks to your on-device AI, generating real-time video you'll get everything through AI that anticipates what you want

Haider.

1,024,800 görüntüleme • 9 ay önce

What comes after the OptimAI Lite & Edge Node? The answer: OptimAI Core Node, and it's going to be a game-changer. Built for the next evolution of Agentic AI, the Core Node brings AI + Edge Computing, real-time data processing, and reinforcement-grade human validation straight to your desktop. ⚙️ Tap into your CPU, GPU, RAM, and bandwidth to not just contribute — but to compute, validate, and train intelligent agents in real-time. 💡 The more contributors, the smarter the system. The more compute, the more rewards flow back to the community.
0:26

What comes after the OptimAI Lite & Edge Node? The answer: OptimAI Core Node, and it's going to be a game-changer. Built for the next evolution of Agentic AI, the Core Node brings AI + Edge Computing, real-time data processing, and reinforcement-grade human validation straight to your desktop. ⚙️ Tap into your CPU, GPU, RAM, and bandwidth to not just contribute — but to compute, validate, and train intelligent agents in real-time. 💡 The more contributors, the smarter the system. The more compute, the more rewards flow back to the community.

OptimAI Network

45,886 görüntüleme • 1 yıl önce

ELON: THE FUTURE OF AI IS REAL-TIME VIDEO COMPREHENSION AND GENERATION Elon said most human-AI interaction will soon happen through real-time video, both in understanding and creating it. He explained that while text carries higher information density, video already dominates the internet in both data generation and compute demand: “Most interaction is going to be real-time video with AI, real-time video comprehension and real-time video generation. That’s going to be most of the load, and that’s how it is for most of the internet right now. Most of the internet is video. Text is a pretty small percentage, but it tends to be higher value or more densely compressed information. If you look at the most bits generated and compute spent, it’s certainly going to be video.” Source: Nikhil Kamath
1:05

ELON: THE FUTURE OF AI IS REAL-TIME VIDEO COMPREHENSION AND GENERATION Elon said most human-AI interaction will soon happen through real-time video, both in understanding and creating it. He explained that while text carries higher information density, video already dominates the internet in both data generation and compute demand: “Most interaction is going to be real-time video with AI, real-time video comprehension and real-time video generation. That’s going to be most of the load, and that’s how it is for most of the internet right now. Most of the internet is video. Text is a pretty small percentage, but it tends to be higher value or more densely compressed information. If you look at the most bits generated and compute spent, it’s certainly going to be video.” Source: Nikhil Kamath

Mario Nawfal

15,670 görüntüleme • 8 ay önce

🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.
0:51

🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.

Black Panther Capital

30,138 görüntüleme • 6 ay önce

When digital precision meets sports, the line between athlete and spectator begins to blur, as advanced infrastructure like the one deployed by T-Mobile Business enables audiences to experience the action in real-time. More info > #TFBxSailGP #TFBPartner To meet the extreme demands of live sailing races, T-Mobile for Business engineered a custom 5G setup combining private and hybrid networks, enabling the live transmission of boat telemetry, HD video, and AR features. Network slicing, mid-band spectrum, and adaptive uplink configurations allowed real-time data delivery from sensors and cameras, even under maritime constraints. These capabilities supported coaching decisions from shore, enhanced safety with AI on race buoys, and gave global audiences access to dynamic, interactive viewing through the SailGP app - demonstrating how robust connectivity can transform live sports experiences. #5G #SailGP #SailGPNYC #SportsInnovation #AI #AR
1:14

When digital precision meets sports, the line between athlete and spectator begins to blur, as advanced infrastructure like the one deployed by T-Mobile Business enables audiences to experience the action in real-time. More info > #TFBxSailGP #TFBPartner To meet the extreme demands of live sailing races, T-Mobile for Business engineered a custom 5G setup combining private and hybrid networks, enabling the live transmission of boat telemetry, HD video, and AR features. Network slicing, mid-band spectrum, and adaptive uplink configurations allowed real-time data delivery from sensors and cameras, even under maritime constraints. These capabilities supported coaching decisions from shore, enhanced safety with AI on race buoys, and gave global audiences access to dynamic, interactive viewing through the SailGP app - demonstrating how robust connectivity can transform live sports experiences. #5G #SailGP #SailGPNYC #SportsInnovation #AI #AR

Antonio Grasso

16,956 görüntüleme • 1 yıl önce

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.
0:32

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

Cristiano R. Amon

15,607 görüntüleme • 1 ay önce

AI doesn’t scale on mega-models — it scales on distilled skills at the edge. From Davos, Qualcomm's Nakul Duggal breaks down the real physics of edge AI: smaller, purpose-built models, mixed precision, and ruthless focus on power + cost efficiency. The biggest constraint is that if AI runs in robotics, ADAS, or edge automation, it has to be efficient. Watch the full conversation to see why edge AI outcomes depend on efficiency by design:
1:38

AI doesn’t scale on mega-models — it scales on distilled skills at the edge. From Davos, Qualcomm's Nakul Duggal breaks down the real physics of edge AI: smaller, purpose-built models, mixed precision, and ruthless focus on power + cost efficiency. The biggest constraint is that if AI runs in robotics, ADAS, or edge automation, it has to be efficient. Watch the full conversation to see why edge AI outcomes depend on efficiency by design:

Six Five Media

74,120 görüntüleme • 5 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

🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN
0:30

🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN

OptimAI Network

44,302 görüntüleme • 1 yıl önce

Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.
0:31

Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.

NEXA AI

197,453 görüntüleme • 10 ay önce

💡 Whats the upgrade that our game-changing Trading 🐦 is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Here’s a glimpse of the tech behind this upgraded trading agent: 1️⃣ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2️⃣ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3️⃣ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4️⃣ Natural Language Processing (NLP) - NLP models power the bot’s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5️⃣ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.
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💡 Whats the upgrade that our game-changing Trading 🐦 is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Here’s a glimpse of the tech behind this upgraded trading agent: 1️⃣ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2️⃣ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3️⃣ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4️⃣ Natural Language Processing (NLP) - NLP models power the bot’s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5️⃣ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.

𝕋𝕎𝔼𝔼𝕋

20,357 görüntüleme • 1 yıl önce