Parameter-Efficient Fine-Tuning (PEFT) is widely applied as the backend of fine-tuning APIs for large language model (LLM) customization in datacenters. Service...
The Eclipse Foundation launches a new framework for the Open VSX Registry, enhancing security features and transitioning to a hybrid architecture. With support...
While real quantum devices have been increasingly used to conduct research focused on achieving quantum advantage or quantum utility in recent years, executing ...
Explore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impa...
Blockchains are diverse in the way they handle communications between their nodes to disseminate information, mitigate attacks, and agree on the next block. Whi...
Robust trajectory optimization enables autonomous systems to operate safely under uncertainty by computing control policies that satisfy the constraints for all...
We study the Undecided-State Dynamics (USD), a fundamental consensus process in which each vertex holds one of k decided opinions or the undecided state. We con...
Large-scale AI/ML training systems depend on two assumptions that are rarely examined: (1) that checkpoints represent atomic snapshots of global training state,...
Enterprises can now serve Earth and space AI models—like those developed by NASA and IBM—on Red Hat AI Inference Server, with autoscaling on Red Hat OpenShift A...
OpenShift AI 3.3 – Balancing Governance & Developer Velocity With the release of Red Hat OpenShift AIhttps://www.redhat.com/en/products/ai/openshift-ai, we lai...
Every decade or so, something fundamental shifts in how we think about infrastructure. Not an upgrade, a rethinking. Virtualization changed what infrastructure...
Generative AI is transforming software development at remarkable speed. In a new paper written by two Microsoft executives—Azure CTO Mark Russinovich and Scott...
