The Robotics Revolution All Around We Don't See

Despite being romanticised as futuristic; robots are indispensable in our lives, making it better and exploring outer worlds like the Moon writes Satyen. Read More. https://www.sify.com/ai-analytics/the-robotics-revolution-all-around-we-dont-see/

The mansion in Succession’s season 4 premiere belongs to a real-life billionaire with a struggling company The fourth and final season of the hit dark-comedy series Succession kicked off with the perfect backdrop to Roy family scheming: a sprawling clifftop property in the Pacific Palisades, Los Angeles.Read more... https://qz.com/succession-season-4-premiere-austin-russell-mansion-1850268981

driverless #self-drivingcars #Autonomousdriving #technology #future #innovation #car #AI #autonomousvehicles #tech #automotive #vehicle #selfdriving #auto

Self-driving Cars Market by Component (Radar, LiDAR, Ultrasonic, & Camera Unit), Vehicle (Hatchback, Coupe & Sports Car, Sedan, SUV), Level of Autonomy (L1, L2, L3, L4, L5), Mobility Type, EV and Region

मशीन की सोच में इंसानी भेदभाव: सेल्फ ड्राइविंग कार भी नस्लवादी, अश्वेत चेहरों को पहचानती नहीं; ब्रिटिश लॉ कमीशन ने चेताया- खतरनाक हो सकते हैं नतीजे

मशीन की सोच में इंसानी भेदभाव: सेल्फ ड्राइविंग कार भी नस्लवादी, अश्वेत चेहरों को पहचानती नहीं; ब्रिटिश लॉ कमीशन ने चेताया- खतरनाक हो सकते हैं नतीजे

Hindi News Db original Self driving Cars Also Do Not Recognize Racial, Blacks; British Law Commission Warns Ads से है परेशान? बिना Ads खबरों के लिए इनस्टॉल करें दैनिक भास्कर ऐप 9 घंटे पहले कॉपी लिंक सोच-समझ कर खुद फैसला करने वाली सेल्फ ड्राइविंग कार की सोच में भी इंसानी नस्लवाद शामिल हो गया है। चौंक गए न आप। लेकिन यह सच है। ब्रिटेन के लॉ कमीशन ने सेल्फ ड्राइविंग कारों को लेकर चेतावनी जारी की…

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मशीन की सोच में इंसानी भेदभाव: सेल्फ ड्राइविंग कार भी नस्लवादी, अश्वेत चेहरों को पहचानती नहीं; ब्रिटिश लॉ कमीशन ने चेताया- खतरनाक हो सकते हैं नतीजे

मशीन की सोच में इंसानी भेदभाव: सेल्फ ड्राइविंग कार भी नस्लवादी, अश्वेत चेहरों को पहचानती नहीं; ब्रिटिश लॉ कमीशन ने चेताया- खतरनाक हो सकते हैं नतीजे

Hindi News Db original Self driving Cars Also Do Not Recognize Racial, Blacks; British Law Commission Warns Ads से है परेशान? बिना Ads खबरों के लिए इनस्टॉल करें दैनिक भास्कर ऐप 27 मिनट पहले कॉपी लिंक सोच-समझ कर खुद फैसला करने वाली सेल्फ ड्राइविंग कार की सोच में भी इंसानी नस्लवाद शामिल हो गया है। चौंक गए न आप। लेकिन यह सच है। ब्रिटेन के लॉ कमीशन ने सेल्फ ड्राइविंग कारों को लेकर चेतावनी जारी की…

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We live in the Technology Era. Man has already made great strides in technology. The wheel discovered by ancient man has made a great revolution. One of the greatest designs ever made by a wheel is the vehicle design. Automobile technology is still at an advanced level. The technology of modern vehicles is sometimes astonishing. Some vehicles even use artificial intelligence. Some modern vehicles are driven by themselves. I think self-driving is something that belongs to the future. But that is what we look forward to now.

Nvidia acquisition of Arm has self-driving car implications

Nvidia acquisition of Arm has self-driving car implications Arm’s technology, already embedded in Nvidia’s self-driving computers, will enable the next generation of autonomous vehicle technology from companies like Voyage. #ArmLimited #artificialintelligence #Chrysler #CPU #CPUdesign #FCA #GHSP #Nvidia #robotaxi #selfdrivingcar #SoftBank #supercomputers #Voyage Read the full article

The Golden State of Scooter Surveillance #privacy #Scooters #Self-drivingCars #transportation https://t.co/a83WE9Pwpy http://twitter.com/iandroideu1/status/1234894087884435456

The Golden State of Scooter Surveillance #privacy #Scooters #Self-drivingCars #transportation https://t.co/a83WE9Pwpy

— iAndroid.eu (@iandroideu1) March 3, 2020

How Tesla Uses PyTorch

Last week, Tesla Motors made the news for delivering big with its smart summon feature on their cars. The cars can now be made to move around the parking lot with just a click. A myriad of tools and frameworks run in the background which makes Tesla’s futuristic features a great success. One such framework is PyTorch. PyTorch has gained popularity over the past couple of years and it is now powering the fully autonomous objectives of Tesla motors. During a talk for the recently-concluded PyTorch developer conference, Andrej Karpathy, who plays a key role in Tesla’s self-driving capabilities, spoke about how the full AI stack utilises PyTorch in the background.  Tesla WorkFlow With PyTorch

via PyTorch Tesla Motors is known for pioneering the self-driving vehicle revolution in the world. They are also known for achieving high reliability in autonomous vehicles without the use of either LIDAR or high definition maps. Tesla cars depend entirely upon computer vision. Tesla is fairly a vertical integrated company and that is also true when it comes to the intelligence of the autopilot. Everything that goes into making Tesla autopilot the best in the world is based on machine learning and the raw video streams that come from 8 cameras around the vehicle. The footage from these cameras is processed through convolutional neural networks(CNNs) for object detection and performing other actions eventually. The collected data is labelled, training is done on on-premise GPU clusters and then it is taken through the entire stack. The networks are run on Tesla’s own custom hardware giving them full control over the lifecycle of all these features, which are deployed to almost 4 million Teslas around the world. For instance, a single frame from the footage of a single camera can contain the following: Road markingsTraffic lightsOverhead signsCrosswalksMoving objectsStatic objectsEnvironment tags So this quickly becomes a multi-task setting. A typical Tesla computer vision workflow would have all these tasks that are connected to a ResNet-50 like shared backbone running roughly on 1000 x 1000 images. Shared because having neural networks for every single task is costly and inefficient. These shared backbone or the networks are called Hydra Nets. There are multiple Hydra Nets for multiple tasks and the information gathered from all these networks can be used to solve recurring tasks. This requires a combination of data-parallel and model-parallel training.

via PyTorch Multi-task training can be done through three main ways as illustrated above. Though round-robin looks straight forward, it is not effective because a pool of workers would be more effective in doing multiple tasks simultaneously. And, the engineers at Tesla find PyTorch to be well suited for carrying out this multitasking. For autopilot, Tesla trains around 48 networks that do 1,000 different predictions and it takes 70,000 GPU hours. Moreover, this training is not a one-time affair but an iterative one and all these workflows should be automated while making sure that these 1,000 different predictions don’t regress over time. Why PyTorch?

Smart summon in action When it comes to machine learning frameworks, TensorFlow and PyTorch are widely popular with the practitioners. No other framework comes even remotely close to what these two products of Google and Facebook respectively, have in store. These frameworks have slowly found their niche within the AI community. PyTorch, especially has become the go-to framework for machine learning researchers. PyTorch citations in papers on ArXiv grew 194% in the first half of 2019 alone while the number of contributors to the platform has grown more than 50%. Companies like Microsoft, Uber, and other organisations across industries are increasingly using it as the foundation for their most important machine learning research and production workloads. And now with the release of PyTorch 1.3, the platform got a much needed boost as it now includes experimental support for features such as seamless model deployment to mobile devices, model quantisation for better performance at inference time, and front-end improvements, like the ability to name tensors and create clearer code with less need for inline comments.  The team also has plans in place for launching a number of additional tools and libraries to support model interpretability and bringing multimodal research to production. Additionally, PyTorch team have also collaborated with Google and Salesforce to add broad support for Cloud Tensor Processing Units, providing a significantly accelerated option for training large-scale deep neural networks. These timely releases from PyTorch coincide with the self-imposed deadlines of Elon Musk on his Tesla team. With the success of their Smart summon, Tesla aims to go fully autonomous in the next couple of years and we can safely say that it has rightly chosen PyTorch to do the heavy lifting. Read the full article

Putting the 'auto' in automobiles

Dinesh Elumalai looks at the past and the future of self-driving cars, and how this technology will make rides safer Read More. https://www.sify.com/ai-analytics/putting-the-auto-in-automobiles/

Elon Musk readies to unveil Tesla’s third master plan at the company’s first investor day Tesla CEO Elon Musk will address investors tomorrow (March 1) at the company’s electric vehicle gigafactory in Austin, Texas.Read more... https://qz.com/tesla-investor-day-2023-musk-ev-twitter-1850168313

Self-driving car demo is the first to cross the US-Canada border

Self-driving car demo is the first to cross the US-Canada border

As a rule, self-driving car tests tend to be limited to the country where they started. But that's not how people drive — what happens when your autonomous vehicle crosses the border? Continental and Magna plan to find out. They're planning to pilot… Read entire story.

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福井県永平寺町の自動走行車両に乗ってきました。今年6月24日から12月20日まで自動走行の実証実験が行われているんです。運転手は付いていますが、ハンドルやブレーキの操作はしません😊時速19キロという速度が周りの風景を楽しませてくれます🍁車両は路面に埋め込まれた電磁誘導線に沿って走行していきます。ドローンで上空からも撮ってみました。

Self-driving car in Eiheiji Town, Fukui Prefecture. It‘s the demonstration experiment until December 20th, 2019. It runs at 19 km/h and you can enjoy the surrounding scenery. The car moves along electromagnetic induction lane embedded in the road.

#福井

#永平寺町

#自動走行車両

#自動走行

#実証実験

#電磁誘導

#ドローン

#空撮

#fukui

#Eiheiji

#selfdrivingcar

#demonstrationexperiment

#drone

#aerialphotography

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Self-driving cars, also known as autonomous vehicles (AV), are a key innovation in the automotive industry. They have high growth potential and are acting as a catalyst in the technological developments of automobiles.

#autonomous #autonomousvechicles #vehicles #self-drivingcars  #cars #developments #demand #automotivetechnology #electricvehicles #futureinnovation #nextgentech #technologynews #technologytrends

The Singularity, Skynet, and the Future of Computing: Crash Course Computer Science #40 In our SERIES FINALE of Crash Course C... #hugochamber #3dprinting #artificialintelligence #autonomouscars #bioninformatics #carlsagan #compsci #computers #computing #crashcourse #crashcoursecomputerscience #crashcourse #cryptocurrency #digitalascension #drones #education #hankgreen #jaronlanier #johngreen #johnvonneumann #paulallen #quantumcomputing #raykurzweil #robots #self-drivingcars #singularity #skynet #superintelligence #technologicalunemployment #terminator #ubiquitouscomputing #vlogbrothers #wearablecomputers Source: https://hugochamber.org/the-singularity-skynet-and-the-future-of-computing-crash-course-computer-science-40/?feed_id=26383&_unique_id=5f4f2f6d62d79