Vision system for household robots
New algorithm could enable household robots to better identify objects in cluttered environments.
Computers that teach by example
New system enables pattern-recognition systems to convey what they learn to humans.
MIT computer scientists can predict the price of Bitcoin
CSAIL/LIDS team's algorithm doubles initial investment in under two months.
Can you out-race a computer?
Deep-learning algorithm can weigh up a neighborhood better than humans.
Collecting just the right data
When you can’t collect all the data you need, a new algorithm tells you which to target.
Collaborative learning — for robots
Algorithm lets independent agents collectively produce a machine-learning model without aggregating data.
Computer system automatically solves word problems
Applications could include educational tools, systems to solve practical geometry or physics problems.
Machine learning branches out
An algorithm that extends an artificial-intelligence technique to new tasks could aid in analysis of flight delays and social networks.
How computers can learn better
With a recently released programming framework, researchers show that a new machine-learning algorithm outperforms its predecessors.
Making sense of medical sensors
Computer scientists and electrical engineers are devising algorithms that look for useful new patterns in data produced by medical sensors.
Making cloud computing more efficient
For database-driven applications, new software could reduce hardware requirements by 95 percent while actually improving performance.
Mining physicians’ notes for medical insights
A new approach to algorithmically distinguishing words with multiple possible meanings could help find useful data in electronic medical records.
Excel programming for nonprogrammers
A new system allows Excel users to create customized functions for their spreadsheets simply by offering a few examples of how data should be manipulated.
Data mining without prejudice
A new technique for finding relationships between variables in large datasets makes no prior assumptions about what those relationships might be.
