Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...

As Europe pursues AI sovereignty, the PyTorch Foundation believes the continent's greatest strength lies not just in building ...

This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 229 Machine Learning course, and include: ...

“We operate a UPI infrastructure on a 100% open source stack. People used to ask, ‘Can we really scale and build ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

The Transient Artifact and Continuous Learning System (TACLS) leverages data from continuously operating satellite networks coupled with machine learning models to help meteorologists at the National ...

Abstract: With the open-source development of cyber-attack technologies, attackers’ ability to modify existing strategies and exploit vulnerabilities has increased, leading to numerous unknown ...

KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, the OpenInfra Foundation, which builds open source infrastructure communities, and the ...

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AISpeeds up attention computation by up to 6.9x and overall generation throughput by up to 3.1x ...

Abstract: MapReduce parameter tuning is time consuming, and existing tuning systems are difficult to use. We present an open source project, Catla for Hadoop and Spark, to provide comprehensive ...

Nous Research has released Hermes Mixture of Agents 2.0 (MoA 2.0), an update to its open-source Hermes Agent framework that ...