Meet netstacklat, an open source eBPF tool developed with university researchers to provide critical visibility into host network latency and enable faster response times. Any application that communicates across the network (which today is most applications) is...
As GenAI inference becomes a dominant workload, researchers are evolving new Kubernetes-native projects to address bottlenecks, delivering the scalability and efficiency AI workflows require. The rapid rise of generative AI has fundamentally reshaped cloud computing....
As zero-shot performance gains flatten, researchers are rethinking the field: separating architectural progress from data-driven gains, and introducing a language-driven paradigm for TSFMs. Ask a power grid operator, a hospital administrator, or a logistics planner...
Can we enhance AI reasoning without sacrificing the reliability of coding tools? The CRANE method proves it’s possible. A stronger reasoning model is not automatically a better coding agent. For many AI systems, the standard approach is to take a model that can reason...
The conversation around AI in higher education sometimes feels stuck in abstraction. When industry and academia work together, however, that conversation is immediately grounded in things like the transition to data-driven engineering, the necessity of academic...
