Topic
Data
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Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
April 2, 2019 -
Model learns how individual amino acids determine protein function
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
March 22, 2019 -
Women in Data Science conference unites global community of researchers and practitioners
MIT Institute for Data, Systems, and Society co-hosted WiDS Cambridge, a daylong conference connecting data scientists across academia and industry.
March 20, 2019 -
3Q: Sarah Williams on mapping urban transport
Digitally mapping informal transportation networks in developing cities can help them reach the United Nations' Sustainable Development Goals.
March 19, 2019 -
A new way to calculate global intensive care unit mortality risk
The GOSSIS algorithm was developed using data from hospitals around the world to spur greater multi-center collaboration and improved benchmarking.
March 8, 2019 -
Big issues on the table at the MIT Sloan Sports Analytics Conference
MIT’s sports-analytics showcase features open talk on some large topics in pro and amateur athletics, from player satisfaction to data equity.
March 6, 2019 -
Q&A: Meet the former all-star pitcher turned MIT student
Chris Capuano, an analytics-friendly Major-Leaguer, pursues his MBA in the Sloan Fellows Program.
March 5, 2019 -
Supercomputers can spot cyber threats
Lincoln Laboratory researchers have developed a technique to compress hours of internet traffic into a bundle that can be analyzed for suspicious behavior.
February 26, 2019 -
Twenty-five ways in which MIT has transformed computing
From digital circuits to ingestible robots, the Institute has helped spearhead key innovations in the technology revolution.
February 25, 2019 -
Achieving greater efficiency for fast data center operations
System better allocates time-sensitive data processing across cores to maintain quick user-response times.
February 21, 2019 -
Exploring the nature of intelligence
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
February 21, 2019 -
Putting data privacy in the hands of users
New platform forces data center servers to only use data in ways that users explicitly approve.
February 20, 2019 -
Predicting sequence from structure
Researchers have devised a faster, more efficient way to design custom peptides and perturb protein-protein interactions.
February 15, 2019 -
Learning to teach to speed up learning
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
January 29, 2019 -
Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
January 25, 2019 -
Julia Lab joins team to speed up drug approval process
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
January 25, 2019 -
Identifying artificial intelligence “blind spots”
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
January 24, 2019 -
AI, the law, and our future
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.
January 18, 2019 -
Democratizing artificial intelligence in health care
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
January 18, 2019 -
Democratizing data science
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.
January 15, 2019