Digital Twin

Northeastern’s RHYTHM AI Predicts Human Movement with LLMs Researchers at Northeastern University have engineered an AI tool called RHYTHM that utilizes large language models (LLMs) to predict human movement. This innovative tool can forecast an individual’s location from 30 minutes to 25 hours in the future. Built on open-source mobility data, the model leverages the contextual understanding of LLMs to generate predictions based on recurring daily, weekly, or monthly patterns. Potential applications for RHYTHM include enhancing transportation and traffic planning. In critical scenarios, the tool could be deployed to respond to natural disasters and public crises by providing accurate predictions of population movements. ...

Lightning AI Launches PyTorch Copilot to Streamline AI Development Lightning AI has introduced a new suite of tools designed to enhance productivity for PyTorch developers, featuring an AI code editor for its Lightning Studios and Notebooks environments. The company also announced the integration of Meta’s Monarch and Forge frameworks, which aim to simplify distributed AI workloads and reinforcement learning. These updates are part of Lightning AI’s mission to make PyTorch development more accessible. Key features include ‘Lightning Environments,’ which provide scalable, sandboxed environments for all stages of the AI development lifecycle. ...