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.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

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

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

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Galaxy S26 Ultra delivers key upgrades over Galaxy S23 Ultra, with a more private display, better performance, faster ...

Forget searching for a power socket; the heat from your wrist might soon be enough to keep your smartwatch running indefinitely. Once a concept confined to science fiction, this idea is moving closer ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...