Collaboration
Collaboration

Collaboration

Algorithms Artificial Intelligence Biology Cells Collaboration Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Electrical engineering and computer science (EECS) Health sciences and technology machine learning MIT Schwarzman College of Computing Proteins Research School of Engineering School of Science Whitehead Institute

AI model deciphers the code in proteins that tells them where to go

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Artificial Intelligence Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Profile School of Engineering

Creating a common language

New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.

Artificial Intelligence Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Ethics Funding Human-computer interaction Industry Innovation and Entrepreneurship (I&E) Labor and jobs MIT Schwarzman College of Computing MIT Sloan School of Management Open access open source Privacy Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Semiconductors Technology and policy Technology and society

Introducing the MIT Generative AI Impact Consortium

The consortium will bring researchers and industry together to focus on impact.

AgeLab Artificial Intelligence Automobiles Autonomous vehicles Behavior Center for Transportation and Logistics Collaboration Data Industry Logistics Safety Transportation

Building an understanding of how drivers interact with emerging vehicle technologies

The MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advance vehicle technology.

Algorithms Artificial Intelligence Arts Classes and programs Collaboration Computer science and technology Digital humanities Electrical engineering and computer science (EECS) Graduate, postdoctoral Human-computer interaction machine learning Media Lab MIT Schwarzman College of Computing Music Music and theater arts Music technology Programming School of Engineering School of Humanities Arts and Social Sciences Software Technology and society

MIT launches new Music Technology and Computation Graduate Program

The program will invite students to investigate new vistas at the intersection of music, computing, and technology.

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

Enhancing LLM collaboration for smarter, more efficient solutions

“Co-LLM” algorithm helps a general-purpose AI model collaborate with an expert large language model by combining the best parts of both answers, leading to more factual responses.

Algorithms Analytics apps Artificial Intelligence Climate change Collaboration Computer science and technology Data Digital technology Education, teaching, academics Environment Global Human-computer interaction Internet K-12 education machine learning Media Lab MIT Schwarzman College of Computing NASA Office of Open Learning Open access Programming social media Space, astronomy and planetary science Special events and guest speakers STEM education Technology and society

“They can see themselves shaping the world they live in”

Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.

Artificial Intelligence Awards, honors and fellowships Classes and programs Collaboration Data Drug development Electrical Engineering & Computer Science (eecs) Faculty Graduate, postdoctoral Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals School of Engineering Special events and guest speakers Students SuperUROP

MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed

The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.

Artificial Intelligence Business and management Cleaner industry Climate change Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) cybersecurity Design Electrical Engineering & Computer Science (eecs) Environmental Solutions Initiative Innovation and Entrepreneurship (I&E) machine learning Manufacturing MIT Morningside Academy for Design MIT Sloan School of Management Renewable energy Research School of Architecture and Planning School of Engineering Startups Supply chains

HPI-MIT design research collaboration creates powerful teams

Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.

Agriculture Algorithms Artificial Intelligence Bacteria Civil and environmental engineering Collaboration computer-vision Data Environment Food Funding Industry J-WAFS machine learning Mechanical engineering MIT Sea Grant School of Engineering Students Supply chains Sustainability Undergraduate Undergraduate Research Opportunities Program (UROP) Water

Advancing technology for aquaculture

MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.