For years, the Achilles’ heel of general-purpose humanoid robots has been their inability to move quickly. Companies that ...
Aiming to stay ahead in the robotics game, Tesla is constantly fine-tuning the new generation of its general-purpose, bi-pedal, humanoid robot Optimus. The Optimus can now navigate uneven terrain with ...
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A review paper by scientists at the Beijing Institute of Technology summarized recent efforts and future potentials in the use of in vitro biological neural networks (BNNs) for the realization of ...
A research article by scientists at the Nanjing University of Aeronautics and Astronautics developed a neural control algorithm to coordinate the adhesive toes and limbs of the climbing robot. The new ...
A humanoid robot can predict whether someone will smile a second before they do, and match the smile on its own face. The creators hope the technology could make interactions with robots more lifelike ...
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Robots that can whack a golf ball down a fairway aren't exactly new, but building one that can play the nuanced short game is a more complex problem. Researchers at Paderborn University in Germany ...