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⭐️ India’s first indigenously built driverless car unveiled in #Bengaluru WIRIN - a Wipro-IISc-RV College of Engineering initiative showcased its autonomous car prototype A video of seer Sri Sri 1008 Satyatma Theertha Sripadangalu riding in it has gone viral 6 years in the making, the project used AI, ML... show more

Nabila Jamal

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217,167 просмотров • 10 месяцев назад •via X (Twitter)

Новости и политика Наука и технологии #Bengaluru

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The Congress Government claims to have spent nearly ₹5,500 crore on Bengaluru’s roads in the last three years. Yet, potholes continue to dominate our streets and road conditions are only getting worse. Where has this taxpayer’s money gone? I have urged Minister Sri Krishna Byre Gowda to release a White Paper within 30 days, detailing every rupee spent on roads over the last three years, with complete road-by-road and ward-by-ward details of the works executed, contractors involved, officials in charge, and the outcomes achieved. Bengaluru deserves transparency. Taxpayers deserve accountability.

The Congress Government claims to have spent nearly ₹5,500 crore on Bengaluru’s roads in the last three years. Yet, potholes continue to dominate our streets and road conditions are only getting worse. Where has this taxpayer’s money gone? I have urged Minister Sri Krishna Byre Gowda to release a White Paper within 30 days, detailing every rupee spent on roads over the last three years, with complete road-by-road and ward-by-ward details of the works executed, contractors involved, officials in charge, and the outcomes achieved. Bengaluru deserves transparency. Taxpayers deserve accountability.

Tejasvi Surya

40,190 просмотров • 2 месяцев назад

Today, I’m proud to share something we’ve been building for months - Artham, India’s first Small Language Model (SLM) built exclusively for Indian Capital Markets. We unveiled it at AWS re:Invent 2025 in Las Vegas, marking a defining milestone for India, AI, and Raise on the world stage. 🚀 This isn’t just a product launch. It’s a statement that India no longer has to rely on global AI models that were never designed to understand the depth, nuance, and realities of our markets. We can and we will build for ourselves. Artham is shaped by the realities of Indian markets — SEBI’s rulebook, NSE & BSE dynamics, corporate filings, trading cycles, investor sentiment, and the everyday language of Indian finance. Every layer is grounded in local context, built to serve Indian participants, not global assumptions. This isn’t a “global model adapted for India.” Built in India. Hosted in India. Built for India. 🇮🇳 This is a model born from India’s capital markets. At Raise Financial Services, we’ve always believed that true financial empowerment cannot come from imported solutions. It must be created on-ground, in-context, with an Indian-first mindset. Artham is our step towards making Indian finance more intelligent, more relevant, and more accessible for retail investors, traders, institutions, and the next generation of market participants. Behind this launch is a team that stayed obsessed with one thing: relevance. Relevance to the Indian investor. Relevance to the Indian market cycle. Relevance to India’s financial future. This isn’t a concept or a test model. Artham is already live in production for millions of users: • fuzz AI (AI research) • ScanX (markets insights) • Dhan - Made for Trade (trading and investing) Proud of our team. Proud of our mission. Proud to build for India. 🇮🇳 Anirudha Basak Amazon Web Services AWS Cloud India #AWSreInvent2025

Today, I’m proud to share something we’ve been building for months - Artham, India’s first Small Language Model (SLM) built exclusively for Indian Capital Markets. We unveiled it at AWS re:Invent 2025 in Las Vegas, marking a defining milestone for India, AI, and Raise on the world stage. 🚀 This isn’t just a product launch. It’s a statement that India no longer has to rely on global AI models that were never designed to understand the depth, nuance, and realities of our markets. We can and we will build for ourselves. Artham is shaped by the realities of Indian markets — SEBI’s rulebook, NSE & BSE dynamics, corporate filings, trading cycles, investor sentiment, and the everyday language of Indian finance. Every layer is grounded in local context, built to serve Indian participants, not global assumptions. This isn’t a “global model adapted for India.” Built in India. Hosted in India. Built for India. 🇮🇳 This is a model born from India’s capital markets. At Raise Financial Services, we’ve always believed that true financial empowerment cannot come from imported solutions. It must be created on-ground, in-context, with an Indian-first mindset. Artham is our step towards making Indian finance more intelligent, more relevant, and more accessible for retail investors, traders, institutions, and the next generation of market participants. Behind this launch is a team that stayed obsessed with one thing: relevance. Relevance to the Indian investor. Relevance to the Indian market cycle. Relevance to India’s financial future. This isn’t a concept or a test model. Artham is already live in production for millions of users: • fuzz AI (AI research) • ScanX (markets insights) • Dhan - Made for Trade (trading and investing) Proud of our team. Proud of our mission. Proud to build for India. 🇮🇳 Anirudha Basak Amazon Web Services AWS Cloud India #AWSreInvent2025

shraddha

94,417 просмотров • 9 месяцев назад

Across Ayodhya, I noticed freshly laid tar roads with consistently smooth surfaces, not a single pothole on roads built in the last 3–4 years... Which makes me wonder: Ehat exactly is Mumbai’s problem with tar roads more specifically of the Western Express Highway (WEH) ? Is it the heavy rainfall, the vehicle load, or something else entirely? In all the Indian cities I’ve travelled to in recent years, I’ve rarely seen tar roads deteriorate this quickly... Meanwhile, near my home in Mumbai, a tar road constructed just five years ago is already in terrible shape. It’s an internal road with light traffic, yet it has met this fate. I will be posting pictures shortly...

Across Ayodhya, I noticed freshly laid tar roads with consistently smooth surfaces, not a single pothole on roads built in the last 3–4 years... Which makes me wonder: Ehat exactly is Mumbai’s problem with tar roads more specifically of the Western Express Highway (WEH) ? Is it the heavy rainfall, the vehicle load, or something else entirely? In all the Indian cities I’ve travelled to in recent years, I’ve rarely seen tar roads deteriorate this quickly... Meanwhile, near my home in Mumbai, a tar road constructed just five years ago is already in terrible shape. It’s an internal road with light traffic, yet it has met this fate. I will be posting pictures shortly...

Mehul R. Thakkar

605,393 просмотров • 10 месяцев назад

It is even weird to me to see a car driving with no humans on San Francisco freeways. People forget that I had the first video of a Waymo 15 years ago. Well, back then it was a Google R&D car. In fact it was the first video of any autonomous vehicle on public roads in the world posted on YouTube. Back then there were four people in the car so I didn’t realize it was a self-driving car. In fact it took six more months for anyone to figure out that Google was doing R&D on the freeways here. I shot this from my Tesla on the way to tonight’s big AI party in San Francisco. My Tesla was self-driving too, but can’t yet drive without a human in the car. With human=supervised. Without human=unsupervised. I will link to the original video in replies.

It is even weird to me to see a car driving with no humans on San Francisco freeways. People forget that I had the first video of a Waymo 15 years ago. Well, back then it was a Google R&D car. In fact it was the first video of any autonomous vehicle on public roads in the world posted on YouTube. Back then there were four people in the car so I didn’t realize it was a self-driving car. In fact it took six more months for anyone to figure out that Google was doing R&D on the freeways here. I shot this from my Tesla on the way to tonight’s big AI party in San Francisco. My Tesla was self-driving too, but can’t yet drive without a human in the car. With human=supervised. Without human=unsupervised. I will link to the original video in replies.

Robert Scoble

80,468 просмотров • 1 год назад

Autonomous driving through tight, dynamic, stochastic, and adversarial traffic-dynamics on sub-urban roads in India, as well as through partially unstructured environments. This demos showcases the robustness of our motion planning and decision making algorithmic frameworks in enabling #autonomousdriving through seamlessly through such traffic and environmental scenarios. The vehicle starts from a generic open environment at the temple, where there are no traffic-rules to abide by. It then exits the region and assumes a generic autonomous navigation behaviour, negotiating complex traffic scenes. At various points it can be seen that the other vehicles (bikes, autos, bicyclists, and cars) didn't abide by any traffic-rule and moved in crisscross fashion, presenting adversarial scenarios, challenging our autonomous vehicle at Swaayatt Robots to take care of the collision avoidance. This classical motion planning and decision making algorithmic framework is being further scaled up with deep #reinforcementlearning, which will practically solve the sub-urban traffic-dynamics and environment negotiation for #autonomousvehicles in India and throughout the world as well. This demo was done at the Kankali Kali Mata mandir in the city of Bhopal. This demo was a culmination of our prior works and demos: off-roads, on-roads, bidirectional traffic negotiation in single lane roads, and toll-plaza navigation. We have taken up the arduous task of solving the Level-4 autonomous driving by the end of 2024, globally. #machinelearning #deeplearning

Autonomous driving through tight, dynamic, stochastic, and adversarial traffic-dynamics on sub-urban roads in India, as well as through partially unstructured environments. This demos showcases the robustness of our motion planning and decision making algorithmic frameworks in enabling #autonomousdriving through seamlessly through such traffic and environmental scenarios. The vehicle starts from a generic open environment at the temple, where there are no traffic-rules to abide by. It then exits the region and assumes a generic autonomous navigation behaviour, negotiating complex traffic scenes. At various points it can be seen that the other vehicles (bikes, autos, bicyclists, and cars) didn't abide by any traffic-rule and moved in crisscross fashion, presenting adversarial scenarios, challenging our autonomous vehicle at Swaayatt Robots to take care of the collision avoidance. This classical motion planning and decision making algorithmic framework is being further scaled up with deep #reinforcementlearning, which will practically solve the sub-urban traffic-dynamics and environment negotiation for #autonomousvehicles in India and throughout the world as well. This demo was done at the Kankali Kali Mata mandir in the city of Bhopal. This demo was a culmination of our prior works and demos: off-roads, on-roads, bidirectional traffic negotiation in single lane roads, and toll-plaza navigation. We have taken up the arduous task of solving the Level-4 autonomous driving by the end of 2024, globally. #machinelearning #deeplearning

Sanjeev Sharma

186,291 просмотров • 2 лет назад

Hyundai Alcazar’s suspension is clearly set up keeping bad Indian roads in mind. What surprised me is how well it stays balanced when the roads are good too. I haven’t driven beyond 110 kmph, so won’t comment on higher speeds. But in the 0–110 kmph range, which is what most people actually drive at in India, the car feels well engineered and suited to our conditions. I do need to mention that I personally would love to test this car with superior set of Michelin, Bridgestone or Yokohama tyres. Right now it has JKTyre. That surely will enhance the grip & braking. (Using it as a primary car for the last week, car provided by Hyundai India)

Hyundai Alcazar’s suspension is clearly set up keeping bad Indian roads in mind. What surprised me is how well it stays balanced when the roads are good too. I haven’t driven beyond 110 kmph, so won’t comment on higher speeds. But in the 0–110 kmph range, which is what most people actually drive at in India, the car feels well engineered and suited to our conditions. I do need to mention that I personally would love to test this car with superior set of Michelin, Bridgestone or Yokohama tyres. Right now it has JKTyre. That surely will enhance the grip & braking. (Using it as a primary car for the last week, car provided by Hyundai India)

Sunderdeep - Volklub

70,778 просмотров • 8 месяцев назад

Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India. This kind of traffic and environment has never been attempted in the history of #autonomousdriving. There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation. This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease. This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads. It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease. There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s). This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year. This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease. #deeplearning #MachineLearning Swaayatt Robots

Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India. This kind of traffic and environment has never been attempted in the history of #autonomousdriving. There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation. This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease. This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads. It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease. There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s). This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year. This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease. #deeplearning #MachineLearning Swaayatt Robots

Sanjeev Sharma

125,317 просмотров • 2 лет назад

An Indian engineer in Bengaluru got tired of potholes destroying his car. So he built an app with Codex that detects them, finds who is responsible, and files a complaint. Here is how it works. He installed a dashcam with GPS and an accelerometer. The app records everything while he drives. A vision model classifies every pothole by size. Small, medium, large. But here is the clever part. Most Indian roads are under warranty. The contractor who built them is legally responsible for fixing potholes for free. His app searches through 2,900 government contracts, finds the exact tender number, identifies the officer responsible, attaches the photo and geolocation, and generates a ready-to-file complaint. One drive to work. 12 potholes detected. 12 complaints ready. -- vc: Gaurav Sen

An Indian engineer in Bengaluru got tired of potholes destroying his car. So he built an app with Codex that detects them, finds who is responsible, and files a complaint. Here is how it works. He installed a dashcam with GPS and an accelerometer. The app records everything while he drives. A vision model classifies every pothole by size. Small, medium, large. But here is the clever part. Most Indian roads are under warranty. The contractor who built them is legally responsible for fixing potholes for free. His app searches through 2,900 government contracts, finds the exact tender number, identifies the officer responsible, attaches the photo and geolocation, and generates a ready-to-file complaint. One drive to work. 12 potholes detected. 12 complaints ready. -- vc: Gaurav Sen

Vaibhav Sisinty

767,748 просмотров • 27 дней назад

Vietnam is 10 times smaller than India, yet it gets 1.8 times more foreign tourists. This white woman came all the way to India on a 1 year visa, but within just weeks, she left. 1. INDIAN men have some serious problems. 2. INDIAN footpaths either do not exist or are broken, with poo everywhere. 3. TRASH is everywhere. 4. Streets and roads are filled with stray animals. 13 years of the Fake Swachh Abhiyan under the failed propaganda VishGuru, in a BJP state, has become a humiliation for India globally. What next, block the video in India?

Vietnam is 10 times smaller than India, yet it gets 1.8 times more foreign tourists. This white woman came all the way to India on a 1 year visa, but within just weeks, she left. 1. INDIAN men have some serious problems. 2. INDIAN footpaths either do not exist or are broken, with poo everywhere. 3. TRASH is everywhere. 4. Streets and roads are filled with stray animals. 13 years of the Fake Swachh Abhiyan under the failed propaganda VishGuru, in a BJP state, has become a humiliation for India globally. What next, block the video in India?

Manu🇮🇳🇮🇳

43,236 просмотров • 23 дней назад

Presenting autonomous driving in complex, stochastic and adversarial traffic-dynamics, on the roads in #India. Over the course of last year, we enabled #autonomousdriving in conditions and in situations no one in the autonomous driving industry considered was possible, and in a country like India, where the contemporary belief was that #autonomousvehicles are an impossibility. With the closure of 2023, we present autonomous driving at a very large scale, in the city of Bhopal in India. In this demo our autonomous vehicle at Swaayatt Robots can be seen negotiating the surrounding traffic with ease, where it had to deal with their stochastic and adversarial driving patterns, like suddenly switching lanes and appearing all of a sudden in our vehicle's current driving lane, without adherence to the traffic rules. This demo was a culmination of the cutting-edge research we have been doing, and the technologies we have been developing, over the years, which we showcased throughout in our demos in 2023 -- campus autonomous driving (February), off-roads autonomous driving (April and September), tight-stochastic traffic negotiation (August and September), bidirectional traffic negotiation on a single lane road (October), large-scale city level demo (November), and Toll-Plaza negotiation (December). In 2024, we will scale our technology commercially, and bring it to North America and Europe, to topple this trillion dollar industry, and will also scale our technology throughout India. Wishing everyone a very Happy New Year! #deeplearning #reinforcementlearning #MachineLearning Elon Musk PMO India Narendra Modi Nitin Gadkari DARPA DRDO

Presenting autonomous driving in complex, stochastic and adversarial traffic-dynamics, on the roads in #India. Over the course of last year, we enabled #autonomousdriving in conditions and in situations no one in the autonomous driving industry considered was possible, and in a country like India, where the contemporary belief was that #autonomousvehicles are an impossibility. With the closure of 2023, we present autonomous driving at a very large scale, in the city of Bhopal in India. In this demo our autonomous vehicle at Swaayatt Robots can be seen negotiating the surrounding traffic with ease, where it had to deal with their stochastic and adversarial driving patterns, like suddenly switching lanes and appearing all of a sudden in our vehicle's current driving lane, without adherence to the traffic rules. This demo was a culmination of the cutting-edge research we have been doing, and the technologies we have been developing, over the years, which we showcased throughout in our demos in 2023 -- campus autonomous driving (February), off-roads autonomous driving (April and September), tight-stochastic traffic negotiation (August and September), bidirectional traffic negotiation on a single lane road (October), large-scale city level demo (November), and Toll-Plaza negotiation (December). In 2024, we will scale our technology commercially, and bring it to North America and Europe, to topple this trillion dollar industry, and will also scale our technology throughout India. Wishing everyone a very Happy New Year! #deeplearning #reinforcementlearning #MachineLearning Elon Musk PMO India Narendra Modi Nitin Gadkari DARPA DRDO

Sanjeev Sharma

95,684 просмотров • 2 лет назад

Autonomous driving through very dense dynamic traffic, with extremely tight-complex-stochastic traffic-dynamics on sub-urban roads, connecting to an open ground, with absolutely zero traffic-rules. This is the most heavily cluttered environment where we have tested our #autonomousdriving technology, presenting many of the adversarial negotiation scenarios as well, throughout the autonomous navigation task. This demo was done at the Mata Baglamukhi Madir campus in the city of Nalkheda, in MP, India, and was done in the presence of heavy police forces deployed that day on the ground, as can be seen in our demo. Our autonomous vehicle starts from the temple with a generic open environment, with zero traffic rules, with very narrow corridors created out of barricades for vehicles movement by the security forces. In the corridor no two vehicles can pass through at the same time, and our vehicle was tasked with driving through this corridor, while negotiating its way from any traffic, two-wheelers, or pedestrians it faces, with dense presence of bikes and cars on either side, presenting a very challenging environment for #autonomousvehicles. The vehicle exits the open area, and then assumes generic dual lane navigation, avoiding both static and dynamic obstacles, before encountering a police check-post, where the vehicle is supposed to wait if the barricade is closed, and proceed if open. Upon exiting the checkpost, the vehicle negotiates a traffic-intersection with stochastic and adversarial driving behaviour of other vehicles on the road. Our vehicle continuously faced heavily cluttered traffic scene, where entities on the road can execute a random driving pattern, making the decision making task very challenging. We did the demo over a period of two days, successfully executing multiple (30+) trials in this setting. This demo was again a culmination of our prior works and demos: Kankali Kali Mata demo, on-roads, bidirectional negotiation capability on single lane roads, and open environment Level-5 negotiation capability as showcased in our Toll-Plaza demo. We again scaled up classical decision making and motion planning algorithmic framework, to adapt to such a level of density of obstacles on the road. This framework is further being scaled up with #reinforcementlearning and unsupervised #deeplearning at Swaayatt Robots. We will again do a demo in the month of June here, showcasing autonomously acquired skills to pave the way for Level-5 autonomous driving, and to solve the Level-4 autonomy problem by the end of 2024. #MachineLearning

Autonomous driving through very dense dynamic traffic, with extremely tight-complex-stochastic traffic-dynamics on sub-urban roads, connecting to an open ground, with absolutely zero traffic-rules. This is the most heavily cluttered environment where we have tested our #autonomousdriving technology, presenting many of the adversarial negotiation scenarios as well, throughout the autonomous navigation task. This demo was done at the Mata Baglamukhi Madir campus in the city of Nalkheda, in MP, India, and was done in the presence of heavy police forces deployed that day on the ground, as can be seen in our demo. Our autonomous vehicle starts from the temple with a generic open environment, with zero traffic rules, with very narrow corridors created out of barricades for vehicles movement by the security forces. In the corridor no two vehicles can pass through at the same time, and our vehicle was tasked with driving through this corridor, while negotiating its way from any traffic, two-wheelers, or pedestrians it faces, with dense presence of bikes and cars on either side, presenting a very challenging environment for #autonomousvehicles. The vehicle exits the open area, and then assumes generic dual lane navigation, avoiding both static and dynamic obstacles, before encountering a police check-post, where the vehicle is supposed to wait if the barricade is closed, and proceed if open. Upon exiting the checkpost, the vehicle negotiates a traffic-intersection with stochastic and adversarial driving behaviour of other vehicles on the road. Our vehicle continuously faced heavily cluttered traffic scene, where entities on the road can execute a random driving pattern, making the decision making task very challenging. We did the demo over a period of two days, successfully executing multiple (30+) trials in this setting. This demo was again a culmination of our prior works and demos: Kankali Kali Mata demo, on-roads, bidirectional negotiation capability on single lane roads, and open environment Level-5 negotiation capability as showcased in our Toll-Plaza demo. We again scaled up classical decision making and motion planning algorithmic framework, to adapt to such a level of density of obstacles on the road. This framework is further being scaled up with #reinforcementlearning and unsupervised #deeplearning at Swaayatt Robots. We will again do a demo in the month of June here, showcasing autonomously acquired skills to pave the way for Level-5 autonomous driving, and to solve the Level-4 autonomy problem by the end of 2024. #MachineLearning

Sanjeev Sharma

332,976 просмотров • 2 лет назад

Autonomous vehicle learning to dodge traffic, performing stochastic adversarial negotiation. On 27th August we had representatives from the Suzuki Motor Corporation's autonomous department, Genki Maeda (Department Manager, AD Platform Development), Karachi Nobunari (Department General Manager, Advance Technology Development Department) and Ronit Kumar (Suzuki Innovation Center) visit us to test our #autonomousdriving technology. This was a high-stakes demo, where we asked our engineering team (including the founder, Sanjeev Sharma) to ride two wheeler and to cut the path of our autonomous vehicle at random / at will, in a live demo, creating an adversarial scenario, where it is the sole responsibility of our autonomous vehicle to dodge obstacles and prevent accidents. Over the years, we have been building autonomous driving technology to enable negotiation of adversarial-complex-stochastic traffic dynamics. This demo is only a short trailer of what is being developed and what is going to come next. We made the vehicle first negotiate randomly placed static vehicles, bikes and cones on the road. Then in the next section of the road, our engineering team started cutting the path of autonomous vehicle at random, and let it take care of obstacles avoidance and negotiation, balancing aggressiveness and passivity. These algorithmic frameworks are being scaled up to achieve Level-4 and Level-5 autonomous driving, in the most complex of traffic situations imaginable in the world for #autonomousvehicles, i.e., Indian traffic on Indian roads, to conquer this space globally. The speed of the vehicle was kept low in this demo, keeping in mind the safety of the guests. The core motion planning and decision making algorithm in the demo utilized one #reinforcementlearning agent. There is going to be another demo on similar lines next week, on an extended stretch of a road. #deeplearning #India

Autonomous vehicle learning to dodge traffic, performing stochastic adversarial negotiation. On 27th August we had representatives from the Suzuki Motor Corporation's autonomous department, Genki Maeda (Department Manager, AD Platform Development), Karachi Nobunari (Department General Manager, Advance Technology Development Department) and Ronit Kumar (Suzuki Innovation Center) visit us to test our #autonomousdriving technology. This was a high-stakes demo, where we asked our engineering team (including the founder, Sanjeev Sharma) to ride two wheeler and to cut the path of our autonomous vehicle at random / at will, in a live demo, creating an adversarial scenario, where it is the sole responsibility of our autonomous vehicle to dodge obstacles and prevent accidents. Over the years, we have been building autonomous driving technology to enable negotiation of adversarial-complex-stochastic traffic dynamics. This demo is only a short trailer of what is being developed and what is going to come next. We made the vehicle first negotiate randomly placed static vehicles, bikes and cones on the road. Then in the next section of the road, our engineering team started cutting the path of autonomous vehicle at random, and let it take care of obstacles avoidance and negotiation, balancing aggressiveness and passivity. These algorithmic frameworks are being scaled up to achieve Level-4 and Level-5 autonomous driving, in the most complex of traffic situations imaginable in the world for #autonomousvehicles, i.e., Indian traffic on Indian roads, to conquer this space globally. The speed of the vehicle was kept low in this demo, keeping in mind the safety of the guests. The core motion planning and decision making algorithm in the demo utilized one #reinforcementlearning agent. There is going to be another demo on similar lines next week, on an extended stretch of a road. #deeplearning #India

Swaayatt Robots

22,375 просмотров • 1 год назад

People now have a clearer understanding of what the term "Brand Bengaluru" truly signifies. Unfortunately, it seems to have become synonymous with roads riddled with craters and potholes, many of which pose significant safety hazards. These poorly maintained roads not only inconvenience daily commuters but also create accident-prone zones across the city. A glaring example of this occurred today in Nagavara, where a goods vehicle overturned due to the presence of a large and unaddressed pothole on the road. This incident highlights the urgent need for better infrastructure and road safety measures to restore the city's reputation and ensure the well-being of its residents.But this can't be achieved until BBMP TURN OF THEIR SLEEPING MODE #bangalore #bengaluru #potholes ಬೆಂಗಳೂರು ನಗರ ಪೊಲೀಸ್‌ BengaluruCityPolice Kingroyal Giriş @BBMPAdmn BBMP_SWM Cell ಬೆಂಗಳೂರು ಸಂಚಾರ ಪೊಲೀಸ್ BengaluruTrafficPolice CP Bengaluru ಪೊಲೀಸ್ ಆಯುಕ್ತ ಬೆಂಗಳೂರು Joint CP, Traffic, Bengaluru DGP KARNATAKA S. Lalitha ChristinMathewPhilip

Karnataka Portfolio

141,328 просмотров • 1 год назад

#WATCH | Colombo, Sri Lanka: On Defence Minister Rajnath Singh's visit to Sri Lanka, Indian High Commissioner to Sri Lanka, Santosh Jha, says, "If you look at the last 2-3 years, the engagement between India and Sri Lanka has acquired a new intensity. There is a regular exchange of ministerial-level visits from India to Sri Lanka and from Sri Lanka to India. We need to see this as part of that. As you know, we have several different aspects of our partnership. Security and defense are very significant aspects of that. The visit of the Defence Minister is in the context that we will be taking forward some of the ongoing initiatives. We'll exchange notes on how far we have come so far on various defense cooperation issues. I must also request that people see it in the larger context. He's a very senior leader from India, a person who has been at the helm for many years, and so we are looking at this as part of the larger political-level exchanges between India and Sri Lanka..."

#WATCH | Colombo, Sri Lanka: On Defence Minister Rajnath Singh's visit to Sri Lanka, Indian High Commissioner to Sri Lanka, Santosh Jha, says, "If you look at the last 2-3 years, the engagement between India and Sri Lanka has acquired a new intensity. There is a regular exchange of ministerial-level visits from India to Sri Lanka and from Sri Lanka to India. We need to see this as part of that. As you know, we have several different aspects of our partnership. Security and defense are very significant aspects of that. The visit of the Defence Minister is in the context that we will be taking forward some of the ongoing initiatives. We'll exchange notes on how far we have come so far on various defense cooperation issues. I must also request that people see it in the larger context. He's a very senior leader from India, a person who has been at the helm for many years, and so we are looking at this as part of the larger political-level exchanges between India and Sri Lanka..."

ANI

26,629 просмотров • 4 дней назад

NEWS: Tesla has built an automated cleaning robot into its Austin Robotaxi Hub, a state permit shows Texas permit TABS2025022006 lists a cleaning robot directly in its scope of work. It sits alongside Supercharger cabinets and an equipment inspection system. The hub finished construction in March. The permit is now closed. Tesla teased this system in early 2025. It is a robotic arm with swappable attachments that vacuums seats and floors, wipes the touchscreen and even grabs items riders leave behind. This solves a real robotaxi problem. A driverless fleet has no driver to clean the car between rides. The cleaning robot is one piece of a fully automated hub. Cars return, get inspected, recharge and get cleaned without a person involved. The car drives itself. Now the hub cleans itself.

NEWS: Tesla has built an automated cleaning robot into its Austin Robotaxi Hub, a state permit shows Texas permit TABS2025022006 lists a cleaning robot directly in its scope of work. It sits alongside Supercharger cabinets and an equipment inspection system. The hub finished construction in March. The permit is now closed. Tesla teased this system in early 2025. It is a robotic arm with swappable attachments that vacuums seats and floors, wipes the touchscreen and even grabs items riders leave behind. This solves a real robotaxi problem. A driverless fleet has no driver to clean the car between rides. The cleaning robot is one piece of a fully automated hub. Cars return, get inspected, recharge and get cleaned without a person involved. The car drives itself. Now the hub cleans itself.

Muskonomy

91,464 просмотров • 2 месяцев назад

BREAKING NEWS: SHENZHEN JUST MADE WORLD’S FASTEST CAR A BYD car broke records to become the fastest production car in the world. The Yangwang U9 achieved a speed of 496.22 kilometers an hour, which is 308.4 mph, at a car testing center in Germany. While jetfighters and specialist racecars can go faster, this is the fastest speed achieved by a factory produced car that people can actually buy. How much gas did it use? None. The BYD Yangwang U9 Xtreme contains four electric motors to give it extreme thrust and special tyres designed to move at 500 kilometers an hour. Built in Shenzhen, China, it can also do the other cool stuff associated with Chinese cars – it can turn on the spot, jump over potholes and so on. But perhaps the most remarkable thing is that the BYD U9 was a concept just two years ago – and is now breaking world records. Pretty good for a toddler of 24 months.

BREAKING NEWS: SHENZHEN JUST MADE WORLD’S FASTEST CAR A BYD car broke records to become the fastest production car in the world. The Yangwang U9 achieved a speed of 496.22 kilometers an hour, which is 308.4 mph, at a car testing center in Germany. While jetfighters and specialist racecars can go faster, this is the fastest speed achieved by a factory produced car that people can actually buy. How much gas did it use? None. The BYD Yangwang U9 Xtreme contains four electric motors to give it extreme thrust and special tyres designed to move at 500 kilometers an hour. Built in Shenzhen, China, it can also do the other cool stuff associated with Chinese cars – it can turn on the spot, jump over potholes and so on. But perhaps the most remarkable thing is that the BYD U9 was a concept just two years ago – and is now breaking world records. Pretty good for a toddler of 24 months.

Nury Vittachi

20,566 просмотров • 11 месяцев назад

#INSAnjadip commissioned into the Indian Navy on #27Feb 26 at Chennai at a ceremony presided over by Adm Dinesh K Tripathi, #CNS, the Chief Guest. Built by GRSE - Garden Reach Shipbuilders & Engineers Ltd in partnership with L&T Kattupalli, the commissioning marks a major boost to India’s anti-submarine warfare and coastal defence capabilities, advancing the vision of #AatmanirbharBharat. Speaking at the ceremony, #CNS expressed immense pride in inducting the #IndianNavy’s 4th indigenously designed and built Anti-Submarine Warfare Shallow Water Craft. #CNS emphasised that Indian Navy’s pursuit of #Aatmanirbharta has proudly evolved from "Make in India" to "Trust in India". #CNS lauded the exceptional synergy between GRSE and L&T Kattupalli, a testament to successful public-private collaboration in this pan-India project. #CNS also reflected on India’s rich maritime heritage, recalling the Chola expeditions from the Coromandel Coast in 1025 AD affirming India’s identity as a maritime civilisation for over 1000 years. Highlighting the strategic importance of the Indian Ocean Region, #CNS stated that India's journey to #ViksitBharat2047 will be shaped by, at, and from the seas, and underscored the Navy’s critical role in safeguarding vital sea lines of communication. Designed to bolster India's undersea warfare capabilities on the Eastern Seaboard, INS Anjadip, named after the historic island off Karwar, is equipped with cutting-edge technology. This commissioning further reinforces the Navy’s operational readiness and its unwavering commitment to safeguarding India’s national maritime interests - Anytime Anywhere Anyhow!

#INSAnjadip commissioned into the Indian Navy on #27Feb 26 at Chennai at a ceremony presided over by Adm Dinesh K Tripathi, #CNS, the Chief Guest. Built by GRSE - Garden Reach Shipbuilders & Engineers Ltd in partnership with L&T Kattupalli, the commissioning marks a major boost to India’s anti-submarine warfare and coastal defence capabilities, advancing the vision of #AatmanirbharBharat. Speaking at the ceremony, #CNS expressed immense pride in inducting the #IndianNavy’s 4th indigenously designed and built Anti-Submarine Warfare Shallow Water Craft. #CNS emphasised that Indian Navy’s pursuit of #Aatmanirbharta has proudly evolved from "Make in India" to "Trust in India". #CNS lauded the exceptional synergy between GRSE and L&T Kattupalli, a testament to successful public-private collaboration in this pan-India project. #CNS also reflected on India’s rich maritime heritage, recalling the Chola expeditions from the Coromandel Coast in 1025 AD affirming India’s identity as a maritime civilisation for over 1000 years. Highlighting the strategic importance of the Indian Ocean Region, #CNS stated that India's journey to #ViksitBharat2047 will be shaped by, at, and from the seas, and underscored the Navy’s critical role in safeguarding vital sea lines of communication. Designed to bolster India's undersea warfare capabilities on the Eastern Seaboard, INS Anjadip, named after the historic island off Karwar, is equipped with cutting-edge technology. This commissioning further reinforces the Navy’s operational readiness and its unwavering commitment to safeguarding India’s national maritime interests - Anytime Anywhere Anyhow!

SpokespersonNavy

29,154 просмотров • 6 месяцев назад