The Future of Self-driving Cars

I have researched the major self driving car companies. We know Argo AI failed. They were ranked 5th in California based upon disengagement miles. Disengagement miles is a misleading statistic. It is only somewhat predictive. Argo had $4 billion or so of funding and 2100 employees. Ford after pulling the plug said Argo was over …

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A-Eye Can See Millions of Colors for Better Automation

Researchers at Northeastern have built a device that can recognize “millions of colors” using new artificial intelligence techniques. “In the world of automation, shapes and colors are the most commonly used items by which a machine can recognize objects,” Kar says. The breakthrough is twofold. Researchers were able to engineer two-dimensional material whose special quantum …

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Teslabots Revealed

Tesla revealed a crude Teslabot that was built in 6 months using mostly off the shelf parts. This first version is able to walk and is training to perform tasks in the Fremont factory. Tesla revealed a more advanced bot that uses custom Tesla parts and was developed with Tesla car manufacturing experience. It is …

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Mars Rover Sampling Top Prospect for Signs of Ancient Microbial Life

NASA’s Perseverance rover is collecting many organic material rich rock-core samples. They are sampling a top prospect for finding signs of ancient microbial life on Mars. The rover has collected four samples from an ancient river delta in the Red Planet’s Jezero Crater since July 7, bringing the total count of scientifically compelling rock samples …

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Lex Fridman Talks Singularity With Ray Kurzweil

Lex Fridman talked with Ray Kurzweil about the Technological Singularity. Ray still asserts that computer artificial intelligence will pass the Turing Test in 2029 and the Singularity will happen around 2045. In the past, Ray has clarified that his predictions date are usually with an implied plus or minus one decade. A Ray Kurzweil prediction …

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Road to Teslabot and Last Mile Delivery Robots

The last mile of a package delivery is the most difficult due to dynamic, uncertain environments both inside and outside of the vehicle. A delivery truck can start completely organized and packed with boxes. As packages are individually delivered, however, the neat stacks can slide or fall over as the vehicle moves. Outside of the …

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Multi-Fingered Active Grasp Learning

This is a review of a 2020 academic paper about using learning systems to train robotics arms and hands to grasp objects. Learning-based approaches to grasp planning are preferred over analytical methods due to their ability to better generalize to new, partially observed objects. However, data collection remains one of the biggest bottlenecks for grasp …

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