Another research line that Rus is excited about to make robots smarter was inspired by the development of large language ...

A layered transistor design combines light detection optical memory and neuromorphic processing in one unit offering compact ...

The Lp-Convolution technique enhances AI image recognition, mimicking brain processes to improve accuracy and efficiency while reducing computational demands.

Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

The Future of Cybernetic Organisms with Energy-Efficient Designs”, published in Big Data and Cognitive Computing explores the ...

Work on deep residual learning is most-cited since 2000 and may become the top of the all-time list within five years, Nature analysis finds The most-cited scientific paper of the 21st century was ...

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 ...

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

Over the past decade, researchers have worked to model the ventral stream using a type of deep-learning model known as a ...

But there’s less known about the networks of neurons ... than 150 researchers mapped neural connections that Collman compares ...

NTT Research announced at an event that it has started a new AI basic research group, dubbed the Physics of Artificial Intelligence Group.

Cosmos, a blockchain network aiming to become the “internet of blockchains,” has launched Eureka, an interoperability layer designed to link its inter-blockchain communication (IBC ...