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

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 ...

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 ...

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

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

In a landmark moment for IT world, Chinese scientists have unveiled the world's first ultra-high parallel optical computing ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their learning ability, which to some extent mimics the functioning of neurons in ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. Abstract “Optics is an exciting route ...

MIT’s new photonic processor promises ultrafast AI computing 10 Dec 2024 Optical operations of deep neural network on chip promises high-efficiency learning in real-time.

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in I have used a phenomenon called “quantum tunnelling” to design a ...