Many intelligent applications and systems, including biomedical hardware and devices, require humancomputer interaction technology. This technology enables ...

A scientist combines attention neural networks with graph neural networks to better understand and design proteins. The approach couples the strengths of geometric deep learning with those of language ...

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.

A neural network is better viewed as a collection of multiple optimisation processes, each with its own internal memory.

Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...