7 d. ago Legged robots skateboard successfully with reinforcement learning framework

Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for instance delivering parcels or monitoring specific environments. In recent years, computer scientists have created algorithms that allow these robots to walk at different speeds, jump, emulate some of the movements of animals and move with great agility.

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1 week ago How ‘The Electric State’ team created a world of unlikely robots

The new Netflix movie “The Electric State” depicts a world full of robots — but not robots as we know them. Directed by brothers Anthony and Joe Russo (who previously helmed two Avengers blockbusters, “Infinity War” and “Endgame”) for a reported budget of $320 million, “The Electric State” takes place in an alternate version of […] © 2024 TechCrunch. All rights reserved. For personal use only.

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2 w. ago Making solar projects cheaper and faster with portable factories

Charge Robotics, founded by MIT alumni, has created a system that automatically assembles and installs completed sections of large solar farms.

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3 w. ago Perovskite solar cells reach new efficiency heights with novel additive

A small team of optical and solar cell specialists and electrical engineers affiliated with several institutions in China, and one in France, has found that adding pyrrodiazole to formamidinium iodide perovskite films can increase the efficiency of the solar cells made with them.

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3 w. ago Turning liquor waste into power: Baijiu sediment transformed into anode for sodium

A small team of materials engineers at the University of Electronic Science and Technology of China, working with Wuliangye, a manufacturer of baijiu, has developed a carbon-source anode using baijiu sediment for use in a sodium-ion battery. In their study published in the journal ACS Applied Materials & Interfaces, the group treated the sediment to make it useful as an anode.

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3 w. ago Efficient lithium extraction method could transform battery supply chains

In the race to meet the growing global demand for lithium—a critical component in batteries for electric vehicles—a team of researchers from Rice University's Elimelech lab has developed a breakthrough lithium extraction method that could reshape the industry.

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last month HikingTTE: A deep learning approach for hiking travel time estimation based on personal walking ability

At the University of Electro-Communications, a research team led by Mizuho Asako, Yasuyuki Tahara, Akihiko Ohsuga, and Yuichi Sei has developed a new deep learning model called "HikingTTE" that significantly improves hiking travel time estimation. Hiking is popular worldwide, but accidents still occur when hikers underestimate the time needed to reach their destination.

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