Nebuly, a platform that helps enterprises measure thebusiness value of their AI agents, has raised $21 million in a Series A fundinground led by Planven. The round included participation from Exor Ven...
Nvidia co-founder and CEO Jensen Huang faces a leadership crisis amid affair revelations and a board probe. Could AMD, Broadcom, and TSMC benefit as investors reassess the AI chip giant?
Chinese AI firms are rushing to secure access to Nvidia's ($NVDA) advanced chips through overseas data centers. The move comes amid concerns that a scandal
AI agent evaluation framework UAEF, open-sourced by AWS, scores agents built on different frameworks across 36 metrics. Its AI judge treats agent output as untrusted input and rejects scores lacking quoted evidence,
Gemma 4 explained: all five model sizes, the memory each one needs, which Mac runs which, how to install it with Ollama, and how it compares to Qwen 3.6.
Web Summit -- Organizations spanning research, industry, technology standards and civil society today announced the Open Agentic Web Challenge, a global initiative to build an open, safe and interoperable web of AI agents.
Computational Fluid Dynamics (CFD) is widely used to evaluate ventilation and contaminant transport in occupied buildings, but deployment at scale is limited by three bottlenecks: acquiring room geometry without costly scanning hardware or manual CAD modeling, decomposing the…
Vision-language navigation (VLN) has largely been developed for indoor and terrestrial robots, where language can often be treated as a static goal and motion is approximated by discrete or near-instantaneous actions. These assumptions break down for unmanned surface vehicles…
Standard data center sustainability metrics, including Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), and Carbon Usage Effectiveness (CUE), measure a facility's resource use and emissions intensity, normalized to IT energy use, without directly representing…
Large language models are increasingly used in oncology applications, but their predictions are often weakly grounded in explicit medical structure. We present TRACE, a deployable tree-relational enhancement framework for oncology LLMs. TRACE separates expensive offline…