For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

A I vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

Since the 1940s, the meaning of the term 'artificial intelligence' has evolved significantly, as its applications have multiplied and its underlying mechanisms have become more sophisticated. Le Monde ...

At the heart of the system is a robotic probe capable of measuring photoconductance, a property that reveals how a material ...

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

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

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...

Many existing methods for exploring the link between neural ... network architecture and training approach." The researchers trained their RNN-based model using a four-step optimization algorithm.

The most important AI partnership in the world partly revolves around whether OpenAI achieves AGI. I propose several ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

The Picture Show features a daily dose of images from around the world of photography. It's hosted by Nicole Werbeck. You can reach Nicole and the rest of the team by email.