Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Artificial intelligence systems like ChatGPT are notorious for being power-hungry. To tackle this challenge, a team from the ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...

Nerves look blue in the reconstructed view of a genetically engineered mouse (left) whose neurons produce a fluorescent ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

This paper reviews recent advancements in neural network (NN)-based equalizers for coherent optical communication systems, with a focus on their architecture and complexity. Various approaches are ...

Researchers at the University of Strathclyde have developed a new method for assembling ultra-small, light-controlling ...

This research study analyses the optical networks in free space, focusing on the working principles of a new adaptive monitoring topology. It explores Artificial Neuron Analysis within this context ...

Researchers develop a hardware platform for AI accelerators that can handle increasing workloads while reducing energy use.