DeepMind's new AI system gives robots an inner voice, enabling zero-shot learning and efficient task mastery without prior ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

The unpredictable nature of photovoltaic solar power generation, caused by changing weather conditions, creates challenges for grid operators as they work to balance supply and demand. As solar power ...

Toward this end, a deep reinforcement learning (DRL)-based solution is proposed, which includes the following components. First, a related and regularized stacked autoencoder (2r-SAE) with ...

AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid discovery in biology, medicine, and synthetic biology—along with key ethical ...

Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...