AI & Robotics News and Discussions

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Watch all the bots of ces is pretty amazing!

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China ships more humanoid robots than the U.S. as investors diverge on AI bets
https://www.cnbc.com/2026/04/21/china-h ... stors.html

Chinese humanoid startups are already shipping robots to factories and malls, while their U.S. rivals remain focused on development — and far higher valuations.

mong private companies — and there are well over 100 humanoid startups in China — AI2 Robotics has achieved a 20 billion yuan ($2.93 billion) valuation, according to CEO and founder Eric Guo.

It might be a fraction of Figure’s valuation, but Guo claimed a large, foreign high-end manufacturer chose AI2′s robots over the U.S. startup’s for factory work. AI2 is also rolling out robots at airports in China, as well as in semiconductor and healthcare factories.

“Commercialization and tech capability aren’t contradictory,” Guo said in Mandarin, translated by CNBC.

It’s an investment thesis he expects investors — even from the U.S. — to start picking up on in just a few months.

If that shift happens, China is well-positioned.

Chinese humanoid startups took the top six spots in Omdia’s rankings of global robot shipments in 2025. Figure and Tesla were the only U.S. companies that made the top 10. While a Figure robot appeared beside U.S. first lady Melania Trump at a White House event in March, Tesla’s Optimus still largely remains in development.

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https://www.instagram.com/reels/DXpBWEzCcmK/

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Brain-inspired chip could reduce AI energy use by 70%
By Etiido Uko
April 30, 2026
https://newatlas.com/ai-humanoids/brain ... nergy-use/

Replicating the brain's capabilities, an impossible task, may theoretically require thousands of H100, one of NVIDIA's most powerful GPUs. At 700 watts per chip, we are looking at power consumption in the megawatt range. The brain runs on 20 watts. Scientists have taken inspiration from this remarkable organ to create chips that could cut conventional energy use by 70%.

Researchers at the University of Cambridge have developed a new brain-inspired nanoscale device that they say could dramatically reduce the enormous energy demands of artificial intelligence hardware. The team created an ultra-low-power “memristor”: a device that can both store and process information in the same location, much like synapses in the human brain.

In conventional computing architectures, memory and processing units are physically separated, requiring data to shuttle back and forth between these units for every task. This seemingly simple process consumes enormous amounts of electricity and is a significant contributor to AI's exploding power demands.

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