The U.S.'s policy goals may not be coherent, while China's own chip efforts and distributed AI training grow more capable.

Taichi has demonstrated high efficiency and complex AI task handling, using a novel hybrid optical approach to overcome ...

According to the researchers, the platform can achieve wafer-scale integration of all the devices required to build an ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

Shortly before Huang’s visit to Beijing today, the company disclosed that the U.S. government had restricted its ability to ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

A cutting-edge AI acceleration platform powered by light rather than electricity could revolutionize how AI is trained and ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

Kirill Solodskih, PhD, is the Co-Founder and CEO of TheStage AI, as well as a seasoned AI researcher and entrepreneur with ...

Xpeng Motors is prepping for a big reveal this quarter: its first in-house chip for autonomous driving is about to hit mass ...

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...