We may be closer to understanding how AI models think, giving researchers new tools to ensure they don't go rogue.

A neural architecture search framework called CMS-NAS automatically evolves hybrid convolutional, Mamba and spiking network ...

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Goodfire researcher Nick Cammarata argues nearly 90% of neurons in models like Qwen3-32B have one clear role, up from about 2 ...

Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov ...

An incendiary post from a prominent researcher suggests that AI is actually more predictable than we thought.

McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine ...

Hello, this is Yakumo.What is AI in the first place?The AI Basics Course, which started from that very question, has ...

A three-year project led by Joshua Burby will build neural network models to explore new stellarator designs and lower the ...

When humans write sentences or solve math problems, they are thinking symbolically—each number, variable or word is expressed ...

Neuro-symbolic AI combines neural networks with rules-based symbolic processing techniques to improve artificial intelligence systems' accuracy, explainability and precision. The neural aspect ...

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 ...