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3 Questions: Why infrastructure is entering a defining era

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Cleaner industry, Climate change, Electric grid, Energy, Faculty, Global, government, Industry, infrastructure, International initiatives, Internet, Interview, School of Engineering, Supply chains, Sustainability, Technology and policy, Transportation

For centuries, infrastructure has evolved alongside technology. New materials and engineering techniques enabled taller buildings, longer bridges, and larger cities. Computing and digital technologies later transformed how infrastructure was designed, monitored, and operated.Now, the pace of change is accelerating, and challenges are arriving simultaneously. Climate change is increasing pressure on water, energy, and other resources.

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At New York Climate Week 2026, MIT connects with a global network

Abdul Latif Jameel Poverty Action Lab (J-PAL), Abdul Latif Jameel Water and Food Systems Lab (J-WAFS), ai, AI (Artificial Intelligence), Artificial Intelligence, Center for Transportation and Logistics, Civil and environmental engineering, Cleaner industry, Climate, Climate change, Computer science and technology, data, DMSE, Emissions, Energy, Environment, Food, Innovation and Entrepreneurship (I&E), Lincoln Laboratory, Logistics, Mechanical engineering, MIT Schwarzman College of Computing, MIT Sloan School of Management, Office of Open Learning, Policy, Pollution, School of Architecture and Planning, School of Engineering, School of Science, Special events and guest speakers, Supply chains, Sustainability, Urban studies and planning, Water

Each year, Climate Week NYC brings together more than 100,000 people in more than 1,000 events across the city to discuss climate challenges, explore solutions, and spur action. Participants come from industry, academia, philanthropy, nonprofits, government, and finance and venture capital. And this year, the mix included a strong, cross-campus presence from MIT.The MIT community

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State of Supply Chain Sustainability Report finds corporate commitment at record high, but governance lags behind

ai, AI (Artificial Intelligence), Artificial Intelligence, Center for Transportation and Logistics, Cleaner industry, Climate change, Emissions, Environment, government, Pollution, Research, School of Engineering, Supply chains, Sustainability, Technology and policy, Trade, Transportation

When corporate leaders discuss climate strategy, the message that still dominates is that, despite competing priorities and external pressures, sustainability matters. According to the 2026 State of Supply Chain Sustainability report from the MIT Sustainable Supply Chain Lab, which surveyed 1,810 supply chain professionals across 91 countries, 83 percent rate sustainability as important or very important

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Computational tools for society’s most complex challenges

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Autonomous vehicles, Civil and environmental engineering, Computer science and technology, Electrical engineering and computer science (EECS), Faculty, IDSS, Laboratory for Information and Decision Systems (LIDS), Logistics, Machine Learning, MIT Schwarzman College of Computing, Profile, Robotics, School of Engineering, Supply chains, Technology and society, Traffic management, Transportation

As far back as she can remember, Cathy Wu ’12, MNG ’13 wanted to find ways to solve problems to improve people’s lives. Her parents were Taiwanese immigrants, and her father had a long commute to his job, which took him away from the family. On a tight budget, the rest of the family often

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Meta Pauses Work With Mercor After Data Breach Puts AI Industry Secrets at Risk

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, Business / Artificial Intelligence, Business / Startups, Security, Security / Cyberattacks and Hacks, Security / Security News, Supply chains

Major AI labs are investigating a security incident that impacted Mercor, a leading data vendor. The incident could have exposed key data about how they train AI models.

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AI system learns to keep warehouse robot traffic running smoothly

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, Electrical engineering and computer science (EECS), IDSS, Laboratory for Information and Decision Systems (LIDS), Logistics, Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering, Supply chains

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns.To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic

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New MIT program to train military leaders for the AI age

Artificial Intelligence, Classes and programs, Computer science and technology, cybersecurity, Department of Defense (DoD), Electrical engineering and computer science (EECS), Logistics, Mechanical engineering, MIT Schwarzman College of Computing, Navy, Oceanography and ocean engineering, School of Engineering, Security studies and military, Supply chains

Artificial intelligence can enhance decision-making and enable action with reduced risk and greater precision, making it a critical tool for national security. A new program offered jointly by the MIT departments of Mechanical Engineering (Course 2, MechE) and Electrical Engineering and Computer Science (Course 6, EECS) will provide breadth and depth in technical studies for

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Driving American battery innovation forward

Artificial Intelligence, Automobiles, Batteries, Cleaner industry, Electric vehicles, Energy, Energy storage, Industry, MIT Energy Initiative, Special events and guest speakers, Supply chains, Transportation

Advancements in battery innovation are transforming both mobility and energy systems alike, according to Kurt Kelty, vice president of battery, propulsion, and sustainability at General Motors (GM). At the MIT Energy Initiative (MITEI) Fall Colloquium, Kelty explored how GM is bringing next-generation battery technologies from lab to commercialization, driving American battery innovation forward. The colloquium

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