The system can decode brain activity patterns for external device control or modulate neural circuits through microcurrent stimulation of target neurons. BEIJING, April 30 (Xinhua) -- A Chinese ...

The aerodynamic drag from the robot ... neural networks to accurately predict the aerodynamic drag generated by the drone's silicone-based wing membrane. They then developed a Thrust-Wing Coordination ...

A humanoid robot is seen at the experience area of the 8th Digital China Summit in Fuzhou, southeast China's Fujian Province, April 28, 2025. (Xinhua/Lin Shanchuan) NANJING, April 29 (Xinhua) -- ...

London-based Isembard manufactures precision components for critical industries such as defence and aerospace Mr Fitzgerald said Isembard aims to tackle the problem by setting up a network of ...

Neural collapse (NC) reveals that the last layer of the network can capture data representations, leading to similar outputs for examples within the same class, while outputs for examples from ...

An Arduino Portenta H7 with a dual-core STM32 ... The researchers used a physics-assisted recurrent neural network to improve flight performance further. To enhance aerodynamic reaction, this ...

Get Instant Summarized Text (Gist) A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation ...

Abstract: Robot locomotion learning using reinforcement learning ... First, sequential motion executor (SME) is a three-layer interpretable neural network, where the first produces the sequentially ...