Collaboration
Collaboration

Collaboration

Artificial Intelligence Books and authors Collaboration Computer science and technology Covid-19 Data Education, teaching, academics Electrical engineering and computer science (EECS) Ethics Faculty IDSS Laboratory for Information and Decision Systems (LIDS) Leadership machine learning MIT Schwarzman College of Computing Pandemic School of Engineering Statistics Technology and policy Technology and society

Melding data, systems, and society

A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.

Analytics Artificial Intelligence Classes and programs Collaboration Data EdX Global IDSS International initiatives Latin America machine learning Massive open online courses (MOOCs) MIT Schwarzman College of Computing MITx Online learning Statistics

Building networks of data science talent

Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.

Artificial Intelligence Business and management Collaboration Education, teaching, academics Industry Innovation and Entrepreneurship (I&E) Labor and jobs Manufacturing President Sally Kornbluth Research Supply chains Sustainability Technology and society The Engine

MIT announces the Initiative for New Manufacturing

The Institute-wide effort aims to bolster industry and create jobs by driving innovation across vital manufacturing sectors.

Aeronautical and astronautical engineering Artificial Intelligence Climate change Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Electrical engineering and computer science (EECS) Energy Europe Global Innovation and Entrepreneurship (I&E) International initiatives Mechanical engineering MIT Portugal MIT Schwarzman College of Computing Nanoscience and nanotechnology Oceanography and ocean engineering Research School of Engineering Space Sustainability Woods Hole

The MIT-Portugal Program enters Phase 4

New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.

Artificial Intelligence Civil and environmental engineering Climate change Collaboration Emissions IDSS International initiatives Mechanical engineering MIT Schwarzman College of Computing MIT Sea Grant Nuclear science and engineering Oceanography and ocean engineering Research School of Engineering Supply chains Technology and policy Transportation

MIT Maritime Consortium sets sail

A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more.

Artificial Intelligence Cleaner industry Collaboration Computer chips Electrical engineering and computer science (EECS) Electronics Energy efficiency Industry Microsystems Technology Laboratories MIT.nano Photonics Research Research Laboratory of Electronics School of Engineering Semiconductors Silicon Sustainable computing

Collaborating to advance research and innovation on essential chips for AI

Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.

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.