Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

Abstract: Performing training and inference for Graph Neural Networks (GNNs) under tight latency constraints has become increasingly difficult as real-world input graphs continue to grow. Compared to ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.

For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...

There’s plenty of interest in how AI could help accelerate scientific research, but there’s a particular field it could ...