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How scientists are growing computers from human brain cells – and why they want to keep doing it

As prominent artificial intelligence (AI) researchers eye limits to the current phase of the technology, a different approach ...
New Scientist

Quantum neural network may be able to cheat the uncertainty principle

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

Using AI, Mathematicians Find Hidden Glitches in Fluid Equations

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

Nature-inspired computers are shockingly good at math

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Language shapes visual processing in both human brains and AI models, study finds

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
IEEE

On Optimizing Deep Neural Networks Inference on CPUs for Brain-Computer Interfaces using Inference Engines

Abstract: Achieving real time Brain-Computer Interface (BCI) decoding requires insignificant signal processing latencies and accurate predictive models. Recently, deep neural networks demonstrated ...
IEEE

Intelligent Human-Computer Interaction Dialog Model Based on End to End Neural Networks and Emotion Information

Abstract: The current dialog model suffers from the lack of grammatical accuracy and content relevance. To provide interactive content with high quality, the study constructs an intelligent ...