A game changer takes on cricket’s statistical problem
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Laboratory for Information and Decisions Systems (LIDS)
Reducing false positives in credit card fraud detection
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
School of Engineering second quarter 2018 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Chip upgrade helps miniature drones navigate
Low-power design will allow devices as small as a honeybee to determine their location while flying.
Keeping data fresh for wireless networks
Algorithm provides networks with the most current information available while avoiding data congestion.
Researchers develop virtual-reality testing ground for drones
With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
Keeping the balance: How flexible nuclear operation can help add more wind and solar to the grid
Model finds operating nuclear plants flexibly can reduce electricity costs, increase revenue for nuclear plants, and cut carbon emissions in electric power systems.
!["As the momentum builds, developers will be able to set up a ML [machine learning] apparatus just as they set up a database," says Max Kanter, CEO at Feature Labs. "It will be that simple."](/sites/default/files/styles/term_page__news_article/public/images/201803/Machine-Learning-Final-01.png?itok=cFwF0sOA)
ML 2.0: Machine learning for many
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
Location detection when GPS doesn’t work
Theoretical study shows how to make wireless localization much more accurate.
Auto-tuning data science: New research streamlines machine learning
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Gearing up for the internet of things
Workshop brings together academia and industry to explore how to prepare next-generation wireless for machine-to-machine communication.
Engineering a brighter future
Optimizing the design of electricity markets could make it easier to integrate renewable energy sources into the power grid.
Crowdsourcing big-data analysis
Web-based system automatically evaluates proposals from far-flung data scientists.
LIDS Smart Urban Infrastructures Workshop highlights emerging research
Speakers from academia, industry, and government discuss the evolution of smart urban systems.
