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

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

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

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising ...

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

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.

MIT-backed Pickle Robot Company debuts AI-powered systems that autonomously unload trucks and ease one of logistics’ toughest ...

Abstract: The Transformer architecture, introduced since 2017, has demonstrated its power in machine translation tasks. However, significant challenges persist, notably in accurately understanding and ...

An artificial intelligence boot camp is being hosted by the Innovation Black Chamber of Commerce. The two-day event will ...

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

The experiment tracking platform will no longer be for sale and a hosted version will soon shut down; OpenAI will keep it for ...