School of Engineering
School of Engineering

School of Engineering

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research Robots School of Engineering

New AI model could streamline operations in a robotic warehouse

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

Artificial Intelligence Climate Computer modeling Electrical Engineering & Computer Science (eecs) Energy Funding Grants Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing School of Engineering

Generative AI for smart grid modeling

MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.

Artificial Intelligence Computer science and technology Drug delivery machine learning Mechanical engineering Medicine National Institutes of Health (NIH) Research School of Engineering

New model identifies drugs that shouldn’t be taken together

Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.

Artificial Intelligence Computer chips Computer science and technology Electrical Engineering & Computer Science (eecs) Electronics Internet Of Things machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Research Laboratory of Electronics School of Engineering sensors Supply chains

This tiny, tamper-proof ID tag can authenticate almost anything

MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.

3-D printing Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical Engineering & Computer Science (eecs) Materials science and engineering MIT Schwarzman College of Computing Research School of Engineering

Using AI to discover stiff and tough microstructures

Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.

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.

Aeronautical and astronautical engineering Aircraft Alumni/ae Artificial Intelligence Autonomous vehicles Graduate, postdoctoral Innovation and Entrepreneurship (I&E) School of Engineering Startups Transportation Venture Mentoring Service

Safer skies with self-flying helicopters

Autonomous helicopters made by Rotor Technologies, a startup led by MIT PhDs, take the human out of risky commercial missions.

Artificial Intelligence Awards, honors and fellowships Data Deshpande Center Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Innovation and Entrepreneurship (I&E) machine learning Mechanical engineering Robotics School of Engineering Startups Students

Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows

The graduate students will aim to commercialize innovations in AI, machine learning, and data science.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS machine learning MIT Schwarzman College of Computing Research School of Engineering

How symmetry can come to the aid of machine learning

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

3-D printing Algorithms Alumni/ae Artificial Intelligence Chemical engineering Cleaner industry Climate change Design Emissions Innovation and Entrepreneurship (I&E) Interview machine learning MIT Morningside Academy for Design Pollution Product design School of Architecture and Planning School of Engineering Startups Sustainability The Engine

Q&A: A blueprint for sustainable innovation

Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.