Biology voices weigh in on the impact of AI on drug discovery from the largest NeurIPS research conference to date.

International exposure in a multicultural, cutting-edge environment. Design and develop new techniques to compress Large ...

A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked ...

Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

To support professionals in overcoming this gap, we have selected five university-backed AI programs that emphasise ...

Two 22-year-olds who rejected a multimillion-dollar offer from Elon Musk are now building a brain-inspired AI model they ...

By building their own intellectual ecosystem, researchers worried about existential AI risk shed academia's baggage — and, ...

One of the three primary annual conferences in ML and AI research, NeurIPS 2025 is taking place Dec. 2-7 at the San Diego Convention Center.

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...

Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...