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.

AI Revolutionizing GP Consultations in UK

GPs in the UK increasingly rely on AI tools like ChatGPT for appointment summaries and diagnoses, despite potential risks. Lack of regulation raises concerns about safety and potential legal issues for doctors.

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: The Future of Work

MIT PhD candidate Benjamin Manning explores designing AI agents to act on behalf of people and shape markets. His research aims to accelerate social scientific discovery by simulating human responses with AI, potentially revolutionizing research methods.

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.