The purpose of this repository is to share KQL queries that can be used by anyone and are understandable. These queries are intended to increase detection coverage through the logs of Microsoft ...

A rebuilt columnar engine, native Prometheus support and agentic investigations that start before anyone gets paged. Elastic ...

OpenAI has found a way to reduce its inference costs by roughly 50%, a development that could reshape the economics of running large language models at scale. Inference is the process of actually ...

We can design, build, and operate data centers in ways that align with our climate goals and societal values, writes Sasha ...

The world’s largest memory chipmaker is projected to report preliminary operating profit of 84.3 trillion won ($55.1 billion) ...

When an agent does something, the whole company should learn from it, so that every developer gets access to the shared ...

Amazon hardware chief Panos Panay told CNBC the company is designing end-to-end silicon for some consumer devices. Why it matters: Custom chips could help Amazon run AI features on-device and better ...

Native PromQL, out-of-the-box Kubernetes agentic investigations, and automated migration from Datadog and Grafana — all in ...

Uncover powerful insights and turn them into impact with a unified analytics platform. Visualize any data and use Copilot in Microsoft Fabric to quickly explore, explain, and take action. Connect ...

Pocket sells a $129 credit card-shaped puck, which sticks to the back of your phone, and promises unlimited recordings, ...

"I was having a conversation this weekend with Claude and it was a pretty in-depth conversation," W.J. Werzyn told Fortune.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...