A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Precision oncology experience at a tertiary care center. Patient-reported outcomes from a phase 2 study of copanlisib in patients with relapsed/refractory indolent B-cell non-Hodgkin lymphoma (iNHL).

You can’t cheaply recompute without re-running the whole model – so KV cache starts piling up Feature Large language model ...

Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design” was published by researchers at University of California San Diego and San Diego State University. Abstract ...

Energy is no longer a background input but a defining constraint and increasingly, a performance metric, shaping how AI systems are architected. Energy efficiency is now as critical a metric as accura ...