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...
In the current landscape of software development, the integration of Artificial Intelligence AI and Machine Learning ML is no longer a luxury — it is a core req...
The rapid adoption of large language models and multimodal foundation models has made multimodal data preparation pipelines critical AI infrastructure. These pi...
We consider an asynchronous network of n parties connected to each other via secure channels, up to t of which are byzantine. We study common coin tossing, a ta...
Large language model (LLM) services have become an integral part of search, assistance, and decision-making applications. However, unlike traditional web or mic...
Overview With Kubernetes v1.35 released Dec 17, 2025 deprecating cgroups v1 and the community Ingress‑NGINX project entering its final sunset phase, the standa...
