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MIT CSAIL researchers create three neurosymbolic methods to help language models build libraries of better abstractions within natural language: LILO assists with code synthesis, Ada helps with AI planning, and LGA guides robotic navigation and manipulation.
In an era in which the power to shape AI may ultimately be concentrated in the hands of the wealthiest tech companies, who gets to decide whether and what kinds of AI systems are safe and secure?
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain. To engineer proteins with useful functions, researchers usually begin with a natural protein that has a desirable function, such as emitting fluorescent light, and put it through many round
ETRI research team has developed a technology that automatically evaluates the performance of task plans generated by Large Language Models (LLMs), which paves
AI's use in drug discovery and health care is a rare area where the public is also more optimistic than anxious about AI's potential.