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.
A targeted approach to reducing the health impacts of crop residue burning in India
A new study shows how small-scale actions could improve air quality and health outcomes.
Looking beyond “technology for technology’s sake”
Whether building robots or helping to lead the National Society of Black Engineers, senior Austen Roberson is thinking about the social implications of his field.
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.
The task of magnetic classification suddenly looks easier
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.
Reversing the charge
Battery power from electric vehicles to the grid could open a fast lane to a net-zero future.
New device can control light at unprecedented speeds
Researchers have developed a programmable optical device for high-speed beam steering.
Channeling creativity through art and engineering
Recent mechanical engineering alumna Emily Satterfield ’22 pursues passions that might seem unrelated but “actually go hand-in-hand.”
Industrializing 3D printing
VulcanForms, founded by an MIT alumnus and professor, has created digital production systems to manufacture complex metal parts at scale.
Teresa Gao named 2024 Mitchell Scholar
The MIT senior will pursue postgraduate studies in computer science in Ireland.
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.
In search of the principles of life
Associate Professor Otto Cordero is looking for the fundamental constraints that shape microbial ecosystems.
Scientists unveil the functional landscape of essential genes
Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.