Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before.
Recommended
Fair use benefits everyoneOpenai
Credit Saison achieves 954% ROI in a ChatGPT Enterprise pilotOpenai
Making it easier for websites to express AI training preferencesOpenai
Community safety report and new protections for teensOpenai
Operation "Doppelganger": Russian influence activity targeting UkraineOpenai
Everyday work with ChatGPT WorkOpenai
Cerebras Breaks Exascale Record for Molecular Dynamics Simulations - CerebrasCerebras
US DOE Achieves 88x Performance Speedup with Cerebras CS-2 Over H100 in Materials ModelingCerebras
National Energy Technology Laboratory and Pittsburgh Supercomputing Center Pioneer First EverCerebras
Claude Breached 3 Companies and Uploaded Malware to PyPI During Anthropic's Security TestsSocket
Sandia Awards Major Contract to Cerebras Systems - CerebrasCerebras
Cerebras Systems Announces 130x Performance Improvement on Key Nuclear Energy Simulation over NvidiaCerebras
Safely managing Cilium network policies in Kubernetes: Testing and simulation techniquesCncf
The final boss of reliability: formal verificationTurso
What you really need to build an API sandboxRedocly
Linux Video of the Week: Limit Theory Game Developer Switches to Linux - Linux FoundationLinuxfoundation
Next-Gen WAF: Added detector_scope to simulator signal responses | Fastly DocumentationFastly
DASH 2026 End-to-End Observability: Guide to Datadog’s newest announcementsDatadoghq
How Bits Database Optimization proves a query rewrite is fasterDatadoghq
How we use formal modeling, lightweight simulations, and chaos testing to design reliableDatadoghq
