ShengShu Technology launches Vidar multi-view physical AI training model
The Vidar embodied AI model from ShengShu uses simulated worlds instead of physical training data. Source: Adobe Stock, Vectorhub by...
training
D-Wave releases open-source toolkit to integrate quantum computing into AI training
D-Wave Quantum Inc., a leader in quantum computing systems, software and services, today announced the release of a collection of...
Training robots in the AI-powered industrial metaverse
For example, Siemens’ SIMATIC Robot Pick AI expands on this vision of adaptability, transforming standard industrial robots—once limited to rigid,...
Increase cybersecurity resilience using advanced data-science techniques for operators training
The water and wastewater sector are fundamental to providing clean and safe water, maintaining sanitation, and supporting public health, as...
Offensive cyber security training for professionals
LRQA empowers developers to deliver secure code As the cyber threat landscape continues to evolve, organizations need cyber...
Multimodal and reasoning LLMs supersize training data for dexterous robotic tasks
Credit: Massachusetts Institute of Technology For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks—especially compared to how...
