How to push, wiggle, or drill an object through granular material
A method for quickly predicting the forces needed to push objects through "flowable media" could help engineers drive robots or anchor ships.
Holding information in mind may mean storing it among synapses
Comparing models of working memory with real-world data, MIT researchers find information resides not in persistent neural activity, but in the pattern of its connections.
Sustainable supply chains put the customer first
In his research, Josué C. Velázquez Martínez focuses on logistics sustainability and small firms in emerging markets.
Cognitive scientists develop new model explaining difficulty in language comprehension
Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.
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.
A faster experiment to find and study topological materials
Using machine learning and simple X-ray spectra, researchers can uncover compounds that might enable next-generation computer chips or quantum devices.
Studying floods to better predict their dangers
A fourth-generation civil engineer, graduate student Katerina Boukin researches the growing yet misunderstood threat of pluvial flooding, including flash floods.
Simulating neutron behavior in nuclear reactors
Amelia Trainer’s work is fundamental to understanding how nuclear reactors operate. A passion for computer modeling and poetry have stood her in good stead through her research career.
Investigating at the interface of data science and computing
Guy Bresler builds mathematical models to understand multifaceted, interdisciplinary engineering problems that have far-reaching applications.
Study: Astronomers risk misinterpreting planetary signals in JWST data
Refining current opacity models will be key to unearthing details of exoplanet properties — and signs of life — in data from the powerful new telescope.
AI that can learn the patterns of human language
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
Taking a magnifying glass to data center operations
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
Living LEGOs
Mathematical modeling speeds up the process of programming bacterial systems to self-assemble into desired 2D shapes.
New J-WAFS-led project combats food insecurity
The Jameel Index for Food Trade and Vulnerability — a project supported by Community Jameel — will study the implications of climate change on food security as they relate to trade.
MIT engineers devise a recipe for improving any autonomous robotic system
A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.