School of Engineering
School of Engineering

School of Engineering

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Artificial intelligence meets “blisk” in new DARPA-funded collaboration

Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.

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

Modeling relationships to solve complex problems efficiently

Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

How AI is improving simulations with smarter sampling techniques

MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Evolution Imaging Lincoln Laboratory machine learning MIT Schwarzman College of Computing Psychology Research School of Engineering School of Science

AI pareidolia: Can machines spot faces in inanimate objects?

New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles computer-vision Disaster response Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing Natural disasters Research Robotics School of Engineering

Helping robots zero in on the objects that matter

A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.

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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.

Artificial Intelligence cybersecurity Data Electrical engineering and computer science (EECS) Electronics Light machine learning MIT Schwarzman College of Computing Photonics Privacy Research Research Laboratory of Electronics School of Engineering

New security protocol shields data from attackers during cloud-based computation

The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.

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Fifteen Lincoln Laboratory technologies receive 2024 R&D 100 Awards

The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches.

Algorithms Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) health Health Care Human-computer interaction Interview Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing School of Engineering

3 Questions: Should we label AI systems like we do prescription drugs?

Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.

Algorithms Artificial Intelligence Chemical engineering Electrical engineering and computer science (EECS) Invention machine learning Manufacturing Mechanical engineering Optics Pharmaceuticals Research School of Engineering

Accelerating particle size distribution estimation

MIT researchers speed up a novel AI-based estimator for medication manufacturing by 60 times.