MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Researchers developed compilation-based quantum process tomography, a framework that reconstructs quantum operations using fewer measurements than conventional methods.

New analysis provides mathematical and behavioral economics evidence supporting the accelerated payoff debt elimination ...

Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Google's new Titans architecture and MIRAS framework enable AI to handle massive amounts of data and work faster.

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Babak Hodjat discusses AI innovation, ethical leadership, evolutionary AI, and human agency in an exclusive interview.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Researchers have built a small-scale computer that runs on thermal noise, the random electrical fluctuations that conventional chip designers spend billions trying to suppress. The device, called a ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.