Mathematical foundations of AI workshop
The workshop on the mathematical foundations of AI, hosted by Microsoft Research Cambridge, brings together researchers from academia and industry to explore emerging directions and open challenges.
Advancing the science of AI agent evaluation and governance
On October 22–23, 2026, Microsoft Research and Carnegie Mellon University’s AI Measurement Science & Engineering Center (AIMSEC) will convene 120 key leaders across academia, industry, civil society, and government to define shared standards and measurement science for evaluating and governing…
Self-Evolving Curriculum for LLM Reasoning
GAUSS
Large language model (LLM) inference has become an operational workload that fleets must provision, monitor, and bill against latency service-level objectives (SLOs). A single throughput number cannot answer the questions operators actually face, because generative…
Capillary Kernels
Tree-structured prefix sharing is now standard in large language model (LLM) serving: a radix-tree KV cache lets multiple requests reuse common context prefixes and reduces memory capacity pressure. Yet the attention kernels used with these…