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Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

Skild AI launched its S1 robot foundation model, built on NVIDIA infrastructure, that learns long-horizon industrial tasks from a single video.

Skild AI's S1 model uses in-context learning from one video demonstration to execute unfamiliar multistep tasks lasting up to 10 minutes without weight updates or task-specific post-training. In tests on new tasks it achieved about 66% per-step success versus 9% for a comparable AI system, and one video demonstration was estimated to match roughly 380 hands-on training examples. The company reached a $100 million annual revenue run rate with more than 60 deployment partnerships, and with NVIDIA and Foxconn deploys the Skild Brain on dual-arm manipulators assembling NVIDIA Blackwell systems. Training and validation rely on NVIDIA Isaac Lab, Isaac Sim, Omniverse, Cosmos and the Newton physics engine.

NVIDIA Blog · 5d agoModel release

NETSCOUT expands Adaptive DDoS Protection with outbound attack mitigation

NETSCOUT extended Adaptive DDoS Protection to detect and mitigate outbound DDoS traffic at source, targeting IoT botnet attacks like Turbo-Mirai.

NETSCOUT announced an extension of its Adaptive DDoS Protection (ADP) for service providers to automatically detect and mitigate outbound DDoS traffic from compromised subscriber devices such as broadband routers and IoT devices. The capability addresses Turbo-Mirai-class botnets capable of multi-terabit attacks and integrates with Arbor Sightline, Arbor Threat Mitigation System, the ATLAS Intelligence Feed, and ASERT analysts. Source-side mitigation aims to reduce outages, transit costs, peering damage, and abuse complaints at ISPs.

Help Net Security · 29d agoTools