First deep learning intro lecture of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. INFO: Slides: http://bit.ly/2HmL5ia Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y Links to individual lecture videos for the course: Lecture 1: Introduction to Deep Learning and Self-Driving Cars https://youtu.be/1L0TKZQcUtA Lecture 2: Deep Reinforcement Learning for Motion Planning https://youtu.be/QDzM8r3WgBw Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task https://youtu.be/U1toUkZw6VI Lecture 4: Recurrent Neural Networks for Steering through Time https://youtu.be/nFTQ7kHQWtc Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles https://youtu.be/ByZF8_-OJNI CONNECT: – If you enjoyed this video, please subscribe to this channel. – AI Podcast: https://lexfridman.com/ai/ – LinkedIn: https://www.linkedin.com/in/lexfridman – Twitter: https://twitter.com/lexfridman – Facebook: https://www.facebook.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – Slack: https://deep-mit-slack.herokuapp.com
#ad Vlad and Niki have fun playing with toy RC cars and robots. Parents, all toys from Sharper Image are available at Walmart and Walmart.com Road Rage Speed Bumpers Cars, Robot Combat, Glow Stunt Drone Please Subscribe!
Stanford professors discuss their innovative research and the new technologies that will transform lives in the 21st century. At a live taping of The Future of Everything, a SiriusXM radio program hosted by Stanford bioengineering professor Russ Altman, two Stanford engineering professors discussed their contributions to two of the tech world’s most cutting edges: artificial intelligence and autonomous vehicles. Computer scientist Fei-Fei Li and mechanical engineer Chris Gerdes spoke about their work pushing the boundaries of what machines can do, and the many ways that our lives will be impacted by interactions with technology in the very near future – if not today. Li outlined some of the major advances that have pushed AI research forward in the years since she entered the field in 2000, a period in which data collection and computing power flourished and “started to converge in a way that most people didn’t expect.” After touching on her seminal work in automated image classification, Li moved on to some of her current projects “using AI to play the guardian angel role in health care.” For instance, she’s working on how sensors installed in senior living facilities can balance care with independence, and track living behaviors such as motion patterns, social activity, nutrition intake and sleep patterns – all of which could help early detection of things like dementia. “This is why I call it a guardian angel. It’s quiet, it’s continuous, it doesn’t interrupt your life, but it’s there for you and providing the help when [More]
View full lesson: http://ed.ted.com/lessons/the-ethical-dilemma-of-self-driving-cars-patrick-lin Self-driving cars are already cruising the streets today. And while these cars will ultimately be safer and cleaner than their manual counterparts, they can’t completely avoid accidents altogether. How should the car be programmed if it encounters an unavoidable accident? Patrick Lin navigates the murky ethics of self-driving cars. Lesson by Patrick Lin, animation by Yukai Du.
Today Bill Gates gave an interview to Bloomberg and among other things talked about Tesla CEO Elon Musk saying he built great electric cars with quality and compared him to Steve Jobs per reporter’s request. It was only three days ago that Elon Musk answering a Tweeter question about Bill Gate’s blog – in which he talked about electric cars without mentioning Tesla and suggested that Tesla Semi will not work (again without mentioning it by name) said, “He has no clue.” Now Bill Gates talked about Elon Musk and spoke more gracefully. It’s laudable and credible. “The fact that Elon Musk and others did a great electric car is a huge contribution to the climate change effort. He did it with quality. It’s still a little premium-priced, but he’s got that initial market, and that market’s going to grow, and other car companies, seeing his success, will come in. The question of what’s the profit per car and what’s the market share of Tesla, that’s for stock people. That’s not a climate change issue at all. The difficulty on the other areas is much higher. I’m not trivializing in any way the need to raise the market share of EVs, but on a relative basis, that’s far easier than the industrial economy, where our progress is very small. We are grossly underinvested in these hard areas,” Gates said to Erik Schatzker for Bloomberg Green. Bloomberg’s reporter also asked if Elon Musk is the new Steve Jobs. To that question, [More]
A small 2D simulation in which cars learn to maneuver through a course by themselves, using a neural network and evolutionary algorithms. Also check out my other project “AI Learns to Park”: https://www.youtube.com/watch?v=VMp6pq6_QjI Two AI fight for the same Parking Spot: https://www.youtube.com/watch?v=CqYKhbyHFtA Interested in how Neural Networks work? Have a look at my one-minute-explanation: https://www.youtube.com/watch?v=rEDzUT3ymw4 This simulation was implemented in Unity. You can find detailed information about how this simulation works, as well as a link to the entire source code on my website: https://arztsamuel.github.io/en/projects/unity/deepCars/deepCars.html Don’t miss any future videos, by subscribing to my channel. Follow me on Twitter: https://twitter.com/SamuelArzt #MachineLearning #Evolution #GeneticAlgorithm
Aug.08 — Alexandr Wang, Scale AI co-founder and chief executive officer, explains how the company is using artificial intelligence to improve the safety of self-driving cars. He speaks with Bloomberg’s Emily Chang on “Bloomberg Technology.”
Self-driving cars are already cruising the streets. Fully autonomous vehicles have the potential to benefit our world by increasing traffic efficiency, reducing pollution, and beyond all eliminating up to 90% of traffic accidents. Not all crashes will be avoided, though, and some crashes will require AVs to make difficult ethical decisions in cases that involve unavoidable harm. For example, the AV may avoid harming several pedestrians by swerving and sacrificing a passerby, or the AV may be faced with the choice of sacrificing its own passenger to save one or more pedestrians. What would you do in a situation like that? How can a person decide between two really bad options? We will explore this disturbing ethical dilemma through Bentham and Kant’s philosophies and we will seek some insights on our true inner ethics by examining some of the scientific research on the topic. In this video: 1. The Trolley problem 0:00 2. Autonomous vehicles – potential benefits and problems 0:53 3. Iyad Rahwan’s research: Bentham and Kant’s philosophies 2:27 4. Immersive virtual reality study 3:56 5. Problems with the “value of life” approach 4:54 6. The big questions ahead us 5:39 Interested in futuristically oriented content? Check our previous video exploring the question of whether we should expect mind blowing changes in the near future ( http://y2u.be/HfM5HXpfnJQ) If you want to see more from us SUBSCRIBE to our channel: http://bit.ly/2oBn4bL and find us on: FACEBOOK: https://www.facebook.com/luscid/ TWITTER: https://twitter.com/LuscidChannel Research and script: Irina Georgieva Art, editing and narration: Daniel Stamenov [More]
using Neural Networks and genetic algorithms to create self-evolving cars capable of learning to pick up scattered coins