AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Elon Musk confirms SpaceX isn't making a phone, but a mobile AI device with Starlink connectivity and neural networks might ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Sustainability advocate and AI engineer Sathya Kannan has recently unveiled a framework that claims to be capable of reducing global carbon dioxide (CO₂) emissions leveraging AI neural networks. In ...

Goodfire Inc., a startup working to uncover how artificial intelligence models make decisions, has raised $150 million in ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

In the rapidly evolving artificial intelligence landscape, one of the most persistent challenges has been the resource-intensive process of optimizing neural networks for deployment. While AI tools ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

A new platform, Moltbook, claims to host 1.4 million AI agents in a closed society. Discover why this "hive mind" signals a dangerous reversal in human cognitive skills.