Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

If physical AI is going to match the accomplishments of LLMs, there's a data problem that needs to be solved.

Sightline Intelligence Launches AI Training Tools and 3.11 Software for Mission-Adaptive Edge AI

New capabilities enable customers to adapt proven AI models for mission-specific environments, autonomous workflows, ...
E&E

AI training for grid operators is new research target

Power companies and Big Tech are looking for artificial intelligence solutions to managing complex grid issues. Some 40 energy companies and the largest U.S. data center developers have formed a ...
Tech Times

Physics AI Slashes Engineering Simulation From Days to Seconds, PhysicsX Raises $300M

Physics AI engineering simulation tools reached production at General Motors this week, cutting a two-week aerodynamics cycle ...

Saturn Cloud Launches Token Factory Platform for GPU Cloud Operators

Saturn Cloud, the AI development platform for GPU cloud operators, today announced its Token Factory platform, which gives enterprise AI teams a complete fine-tuning and model serving workflow on top ...
DatacenterDynamics

Architecting AI at scale: from training clusters to inference-driven infrastructure

Architecting scalable AI networks and fiber infrastructure for the shift from training clusters to inference-driven workloads ...