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.

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

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

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.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...