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Gatik is bringing its self-driving box trucks to Kansas

Engadget

Autonomous vehicle startup Gatik says it will start using its self-driving box trucks in Kansas as it expands to more territories. Governor Laura Kelly last week signed a bill that makes it legal for self-driving vehicles to run on public roads under certain circumstances. Following a similar effort in Arkansas, Gatik says it and its partner Walmart worked with legislators and stakeholders to "develop and propose legislation that prioritizes the safe and structured introduction of autonomous vehicles in the state." Before Gatik's trucks hit Kansas roads, the company says it will provide training to first responders and law enforcement. Gatik claims that, since it started commercial operations three years ago, it has maintained a clean safety record in Arkansas, Texas, Louisiana and Ontario, Canada.


Scientists develop edible TAPE that can hold burritos together and prevent leakages

Daily Mail - Science & tech

Unraveled, chaotic meals could be a thing of the past for burrito lovers thanks to a group of engineering students from Johns Hopkins University and their lunch-saving invention. Dubbed'Tastee Tape', the invention is simply edible sticky tape designed to hold a burrito together while it's being eaten. 'Tastee Tape allows you to put full faith in your tortilla and enjoy your meal, mess-free,' said Tyler Guarino, who led the project. Unraveled, chaotic meals could be a thing of the past for burrito lovers thanks to a group of engineering students from Johns Hopkins University and their lunch-saving invention. Dubbed'Tastee Tape', the invention is simply edible sticky tape designed to hold a burrito together while it's being eaten The team tested a'multitude' of ingredients and combinations before settling on a final recipe.


Robot can fly, swim or hitch a ride by sticking to other objects

New Scientist

A robotic drone that can travel through air and water, and also attach itself to larger objects with a suction cup, could be useful for tagging wild animals, say its creators. The suction cup is inspired by the remora fish, which attaches itself to larger marine creatures in a symbiotic relationship where the remora eats parasites that would irritate its host and also gets a ride in return. "My original thought was'let's find a point where we can beat nature'," says Li Wen at Beihang University in Beijing. "Let's do a robot that can not only swim and stick underwater, but also can fly into the air and stick in the air. I don't think there are any animals that can do this."


Should I use offline RL or imitation learning?

AIHub

Figure 1: Summary of our recommendations for when a practitioner should BC and various imitation learning style methods, and when they should use offline RL approaches. Offline reinforcement learning allows learning policies from previously collected data, which has profound implications for applying RL in domains where running trial-and-error learning is impractical or dangerous, such as safety-critical settings like autonomous driving or medical treatment planning. In such scenarios, online exploration is simply too risky, but offline RL methods can learn effective policies from logged data collected by humans or heuristically designed controllers. Prior learning-based control methods have also approached learning from existing data as imitation learning: if the data is generally "good enough," simply copying the behavior in the data can lead to good results, and if it's not good enough, then filtering or reweighting the data and then copying can work well. Several recent works suggest that this is a viable alternative to modern offline RL methods.


DeepMind's 'Gato' is mediocre, so why did they build it?

ZDNet

Tiernan Ray has been covering technology and business for 27 years. He was most recently technology editor for Barron's where he wrote daily market coverage for the Tech Trader blog and wrote the weekly print column of that name. DeepMind's "Gato" neural network excels at numerous tasks including controlling robotic arms that stack blocks, playing Atari 2600 games, and captioning images. The world is used to seeing headlines about the latest breakthrough by deep learning forms of artificial intelligence. The latest achievement of the DeepMind division of Google, however, might be summarized as, "One AI program that does a so-so job at a lot of things."


It will soon be easy for self-driving cars to hide in plain sight. We shouldn't let them.

MIT Technology Review

It will soon become easy for self-driving cars to hide in plain sight. The rooftop lidar sensors that currently mark many of them out are likely to become smaller. Mercedes vehicles with the new, partially automated Drive Pilot system, which carries its lidar sensors behind the car's front grille, are already indistinguishable to the naked eye from ordinary human-operated vehicles. Is this a good thing? As part of our Driverless Futures project at University College London, my colleagues and I recently concluded the largest and most comprehensive survey of citizens' attitudes to self-driving vehicles and the rules of the road.


MathWorks.Stories.

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Inspired by Her Family's Story, Founder Hopes to Boost Healthcare Equity Through Tech The World's First Solar-Powered Car Gets up to 450 Miles of Range on a Single Charge Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: . Other MathWorks country sites are not optimized for visits from your location.


DeepMind's new AI system can perform over 600 tasks – TechCrunch

#artificialintelligence

The ultimate achievement to some in the AI industry is creating a system with artificial general intelligence (AGI), or the ability to understand and learn any task that a human can. Long relegated to the domain of science fiction, it's been suggested that AGI would bring about systems with the ability to reason, plan, learn, represent knowledge, and communicate in natural language. Not every expert is convinced that AGI is a realistic goal -- or even possible. Gato is what DeepMind describes as a "general-purpose" system, a system that can be taught to perform many different types of tasks. Researchers at DeepMind trained Gato to complete 604, to be exact, including captioning images, engaging in dialogue, stacking blocks with a real robot arm, and playing Atari games. Jack Hessel, a research scientist at the Allen Institute for AI, points out that a single AI system that can solve many tasks isn't new.


Predicting Others' Behavior on the Road With Artificial Intelligence

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Researchers have created a machine-learning system that efficiently predicts the future trajectories of multiple road users, like drivers, cyclists, and pedestrians, which could enable an autonomous vehicle to more safely navigate city streets. If a robot is going to navigate a vehicle safely through downtown Boston, it must be able to predict what nearby drivers, cyclists, and pedestrians are going to do next. A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, pedestrians, and cyclists in real-time. Humans may be one of the biggest roadblocks to fully autonomous vehicles operating on city streets. If a robot is going to navigate a vehicle safely through downtown Boston, it must be able to predict what nearby drivers, pedestrians, and cyclists are going to do next.


Self-Driving Cars Could Get Safer Thanks to These 3 Tech Developments

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Self-driving cars are one of the most hotly debated topics when it comes to vehicle safety. Plenty of companies are using autonomous vehicles for various purposes. However, most Americans don't think they're all that safe. Additionally, with videos showing the faults of some of these systems, it's easy to see the hesitation. So, it will undoubtedly get better over time.