Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

Microsoft recently announced what could be the next major development in the history of DirectX. The High-Level Shader ...

Microsoft plans to introduce cooperative vector support to DirectX, enabling cross-platform implementation of next-generation ...

Now, self-learning graphical neural networks could speed things up. MIT researchers have now designed a sensor that can distinguish between viral and bacterial pneumonia infections, which they hope ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Using a graphical neural network, LiON analyzed the chemical properties of LNPs to identify and rank potential lipid candidates. This AI-driven strategy reduces human bias and enhances the design ...