MIT Schwarzman College of Computing
MIT Schwarzman College of Computing

MIT Schwarzman College of Computing

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Ethics Interview machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering Technology and society

3 Questions: What you need to know about audio deepfakes

MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.

Artificial Intelligence Autonomous vehicles Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Research School of Engineering School of Science

Researchers enhance peripheral vision in AI models

By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.

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Using generative AI to improve software testing

MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.

Artificial Intelligence Computer science and technology Electrical Engineering & Computer Science (eecs) Faculty IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing Profile School of Engineering

Dealing with the limitations of our noisy world

Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.

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 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.

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.