NEWS IN BRIEF: AI/ML FRESH UPDATES

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Unlocking the Potential of Large Language Models

MIT researchers developed a dynamic approach for large language models (LLMs) to allocate computational effort based on question difficulty, improving efficiency and accuracy. This method allows smaller LLMs to outperform larger models on complex problems, potentially reducing energy consumption and expanding applications.

Future-Proofing Power Systems

MIT Energy Initiative (MITEI) researchers develop Macro, a new modeling tool for infrastructure planners in the energy sector. Macro allows for better prediction and preparation for future energy needs, considering new technologies, policies, and minimizing costs while maximizing value for everyone.

Safe and Sound: Soft Robots Learn Self-Protection

MIT researchers develop safe control strategies for soft robots to interact with humans and delicate objects. New framework blends nonlinear control theory with physical modeling for “contact-aware safety,” ensuring robots achieve tasks without causing harm.

AI: Friend or Foe?

AI's speed in completing tasks raises concerns about its impact on critical thinking. Madeleine Finlay and Sam Gilbert discuss AI's potential to change how we think.

Revolutionizing American Battery Technology

GM's Kurt Kelty details next-gen battery tech advancements, focusing on affordability, performance, and supply chain localization. LMR batteries set to revolutionize EV market with cost-effective, high-range solution by 2028.