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An automated way to assemble thousands of objects
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
Large language models help decipher clinical notes
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Ushering in a new era of computing
Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
Breaking the scaling limits of analog computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
MIT Policy Hackathon produces new solutions for technology policy challenges
Hackathon explores policy solutions to challenges in cybersecurity, environmental justice, and city planning focused on post-pandemic efforts to build a better society.
New device can control light at unprecedented speeds
Researchers have developed a programmable optical device for high-speed beam steering.
A simpler path to better computer vision
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.
A far-sighted approach to machine learning
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
Teresa Gao named 2024 Mitchell Scholar
The MIT senior will pursue postgraduate studies in computer science in Ireland.
