Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
BOSTON, Dec. 10, 2025 (GLOBE NEWSWIRE) -- pdfFiller , a leading all-in-one document management platform and part of the airSlate family of ...
Rivian Automotive, Inc. ( RIVN) Discusses AI-Centric Approach to Vehicle Autonomy and Technology Roadmap December 11, 2025 12:00 PM EST Please welcome RJ Scaringe, Founder and Chief Executive Officer ...
HB 1515 passed the Senate 32-16 and the House 57-28 (with 11 absences), mostly along party lines. Indiana has a Republican ...
A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...
Ai2 updates its Olmo 3 family of models to Olmo 3.1 following additional extended RL training to boost performance.
If you’ve ever tried learning Blender from scratch as I have, you know just how brutal the learning curve can be. I spent ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Princeton scientists found that the brain uses reusable “cognitive blocks” to create new behaviors quickly.
This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.
The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
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