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.
Drones, Bitcoin, and robotic fish
Here are eight of the coolest things that happened at CSAIL in 2014.
Could birdsong help us solve stuttering?
New CSAIL genomics work suggests vocalizing birds could tell us more about speech disorders.
How information moves between cultures
Networks that map strength of connections between languages predict global influence of their speakers.
Call for analytics research proposals and announcement of seed funding for non-tenured professors
Research will be conducted through the Accenture and MIT Alliance in Business Analytics.
Simchi-Levi and colleagues win INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice
Team awarded for utilizing Simchi-Levi’s Risk Exposure Index to identify risk and mitigate disruptions in the automotive supply chain.
Hewlett Foundation funds new MIT initiative on cybersecurity policy
Largest-ever private commitment to cybersecurity establishes major new academic centers.
“Moneyball for business”
Startup’s behavioral analytics on employees uncover ways to increase workplace productivity, satisfaction.
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.
MIT Professional Education announces new offerings of Online X professional course on big data
In response to success of initial offering, individuals may sign up now for fall and spring sessions of "Tackling the Challenges of Big Data"
Visual control of big data
Data-visualization tool identifies sources of aberrant results and recomputes visualizations without them.