Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network.

Shanghai Jiao Tong University researchers have developed a data-driven method to recognize the coordinated intentions of ...

Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

A new book by one of the founders of research on neural networks covers more than 40 years of scientific work that led to the AI systems of today.

Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.

New applications of AI and machine learning techniques were presented at Neuroscience 2025, the annual meeting of the Society for Neuroscience and the world’s largest source of emerging news about ...