Maryann Gong earns second-straight Division III Academic All-America of the Year Award
Computer science major is the first Division III student-athlete to earn the honor in back-to-back years and just the second overall in the NCAA.
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Reshaping computer-aided design
CSAIL’s InstantCAD allows manufacturers to simulate, optimize CAD designs in real-time.
Coaching platform improves health outcomes, lowers medical costs
New app lets patients work alone or with others to prevent, monitor, and reverse chronic disease.
Artificial intelligence suggests recipes based on food photos
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
Bringing neural networks to cellphones
Method for modeling neural networks’ power consumption could help make the systems portable.
Finding leaks while they’re easy to fix
Robot can inspect water or gas pipes from the inside to find leaks long before they become catastrophic.
Watch 3-D movies at home, sans glasses
CSAIL system converts 3-D movies into a more TV-friendly format.
Using chip memory more efficiently
System for generating ad hoc “cache hierarchies” increases processing speed while reducing energy consumption.
Practical parallelism
System enables large speedups — as much as 88-fold — on common parallel-computing algorithms.
Peering into neural networks
New technique helps elucidate the inner workings of neural networks trained on visual data.
Computer system predicts products of chemical reactions
Machine learning approach could aid the design of industrial processes for drug manufacturing.
Drones that drive
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars.
A deep dive into research
SuperUROP gives undergraduates the chance to immerse themselves in a year-long research project with supportive mentors to guide the way.
New technique makes brain scans better
Boosting quality of patient MRIs could enable large-scale studies of stroke outcome.
New system allows optical “deep learning”
Neural networks could be implemented more quickly using new photonic technology.