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Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Language machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

AI agents help explain other AI systems

MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.

Artificial Intelligence Brain and cognitive sciences Computer science and technology Language machine learning McGovern Institute MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Neuroscience Research School of Engineering School of Science

Complex, unfamiliar sentences make the brain’s language network work harder

A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Human-computer interaction Language machine learning MIT Schwarzman College of Computing School of Engineering

Multi-AI collaboration helps reasoning and factual accuracy in large language models

Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Ethics Faculty Human-computer interaction Interview Language machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering Technology and society

3 Questions: Jacob Andreas on large language models

The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Human-computer interaction Language machine learning MIT Schwarzman College of Computing School of Engineering Special events and guest speakers Technology and society

MIT CSAIL researchers discuss frontiers of generative AI

Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.