Parallelizing common algorithms
Researchers revamp a common “data structure” so that it will work with multicore chips.
Biology, driven by data
Newly tenured biological engineer Ernest Fraenkel goes where the numbers lead.
Optimizing optimization algorithms
Analysis shows how to get the best results when approximating solutions to complex engineering problems.
Software that knows the risks
Planning algorithms evaluate probability of success, suggest low-risk alternatives.
Evolutionary approaches to big-data problems
Una-May O'Reilly applies machine learning and evolutionary algorithms to tackle some of the world's biggest big-data challenges.
Drive-by heat mapping
Startup’s thermal-imaging cars can quickly track energy leaks in thousands of homes and buildings.
Drones, Bitcoin, and robotic fish
Here are eight of the coolest things that happened at CSAIL in 2014.
In one aspect of vision, computers catch up to primate brain
Newest computer neural networks can identify visual objects as well as the primate brain.
CSAIL opens lab to 150 local students for Hour of Code
Robots, virtual visit from will.i.am aim to get kids excited about programming.
Computers that teach by example
New system enables pattern-recognition systems to convey what they learn to humans.
Computer model enables design of complex DNA shapes
Engineers computer-design the most complicated 3-D structures ever made from DNA.
Recommendation theory
Model for evaluating product-recommendation algorithms suggests that trial and error get it right.
MIT computer scientists can predict the price of Bitcoin
CSAIL/LIDS team's algorithm doubles initial investment in under two months.
Getting metabolism right
Analysis of 89 models of metabolic processes finds flaws in 44 of them — but suggests corrections.