MIT-IBM Watson AI Lab
MIT-IBM Watson AI Lab

MIT-IBM Watson AI Lab

Algorithms Artificial Intelligence Business and management Center for Transportation and Logistics Interview machine learning MIT Schwarzman College of Computing MIT Sloan School of Management MIT-IBM Watson AI Lab Research School of Engineering Staff Supply chains Transportation

3 Questions: Enhancing last-mile logistics with machine learning

MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.

Administration Aeronautical and astronautical engineering Artificial Intelligence Brain and cognitive sciences Cambridge, Boston and region Campus buildings and architecture Chemical engineering Community Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology EAPS Education, teaching, academics Electrical Engineering & Computer Science (eecs) Facilities Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT Sloan School of Management MIT-IBM Watson AI Lab Music and theater arts Nuclear science and engineering Political science Quest for Intelligence School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Technology and society Urban studies and planning

A crossroads for computing at MIT

The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

A faster, better way to prevent an AI chatbot from giving toxic responses

Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

Algorithms Artificial Intelligence Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research School of Engineering

A new way to let AI chatbots converse all day without crashing

Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.

Artificial Intelligence Communications Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research Robotics School of Engineering Students

Reasoning and reliability in AI

PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.

Algorithms Artificial Intelligence Computer science and technology computer-vision Data Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research Robotics School of Engineering

Multiple AI models help robots execute complex plans more transparently

A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.

Algorithms Artificial Intelligence Computer science and technology Data machine learning Mathematics MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Physics Research School of Science

Technique could efficiently solve partial differential equations for numerous applications

MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.

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.

Artificial Intelligence Classes and programs Collaboration Data Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Human-computer interaction Industry Linguistics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research School of Engineering School of Humanities Arts and Social Sciences Students

Leveraging language to understand machines

Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.