Better machine learning
Kalyan Veeramachaneni tackles some of the biggest bottlenecks holding back the data science industry.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Can an LED-filled “robot garden” make coding more accessible?
CSAIL’s 100-plus blooming, crawling, swimming bots teach basic programming concepts.
Researchers generate a reference map of the human epigenome
Better understanding of epigenetic modifications could elucidate their role in human traits, diseases.
Epigenomics of Alzheimer’s disease progression
Study of epigenomic modifications reveals immune basis of Alzheimer's disease.
Smarter multicore chips
New approach to distributing computations could make multicore chips much faster.
Better how-to videos
System recruits learners to annotate videos, increasing their educational value.
Eight from MIT elected to National Academy of Engineering
New members include the Institute’s president and the director of Lincoln Laboratory.
Parallelizing common algorithms
Researchers revamp a common “data structure” so that it will work with multicore chips.
Optimizing optimization algorithms
Analysis shows how to get the best results when approximating solutions to complex engineering problems.
President Obama, Prime Minister Cameron announce cybersecurity competition with CSAIL
MIT, British students to face off in “Cambridge v. Cambridge” event this fall.
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.
Inspiring a new generation of innovators
Andrew Viterbi ’56, SM ’57 has been a pioneer in wireless communications for more than half a century.
Vision system for household robots
New algorithm could enable household robots to better identify objects in cluttered environments.