Biology voices weigh in on the impact of AI on drug discovery from the largest NeurIPS research conference to date.
A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked ...
With new ray regeneration and radiance caching features as well as greatly-enhanced upscaling and frame gen, FSR Redstone was ...
Gadget Review on MSN
Insurance companies know when you'll die – they use machine learning to predict your expiration
Smartwatch data and AI algorithms help life insurance companies predict mortality with 78% accuracy, potentially affecting ...
Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...
New Scientist on MSN
Best acronym? Best use of AI? We present our end-of-year awards
Feedback has spent some time sifting through 2025's key scientific achievements to come up with a range of weird and ...
To support professionals in overcoming this gap, we have selected five university-backed AI programs that emphasise ...
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 ...
BrainChip Holdings Ltd., a leader in commercial production high-performance, ultra-low-power, event-based neuromorphic ...
As someone who owns more than fifteen volumes from the MIT Press Essential Knowledge series, I approach each new release with both interest and caution: the series often delivers thoughtful, ...
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 ...
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