Robert Shin receives NDIA Combat Survivability Award for Leadership
Award recognizes Shin’s contributions at Lincoln Laboratory to air vehicle survivability and STEM education in support of national defense.
Topic
Electrical engineering and computer science (EECS)
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Five from MIT named 2023 Quad Fellows
The new fellowship from the governments of Australia, India, Japan, and the United States, administered by Schmidt Futures, supports graduate education in STEM fields.
Two from MIT named 2023 Marshall Scholars
Rachel Chae and Sihao Huang ’22 will pursue graduate studies in the United Kingdom.
Meet the 2022-23 Accenture Fellows
This year's fellows will work across research areas including telemonitoring, human-computer interactions, operations research, AI-mediated socialization, and chemical transformations.
Computational system streamlines the design of fluidic devices
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.
Paper-thin solar cell can turn any surface into a power source
Researchers develop a scalable fabrication technique to produce ultrathin, lightweight solar cells that can be seamlessly added to any surface.
All the possibilities of the cleanroom
MIT-trained electrical engineer Jorg Scholvin guides researchers fabricating new technology at MIT.nano.
Three MIT seniors win 2024 Schwarzman Scholarships
Sara V. Fernandez, Amanda Hu, and Brigette Wang will spend the 2023-24 academic year at Tsinghua University in China studying global affairs.
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.
A faster way to preserve privacy online
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
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.
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.