More personalized online shopping
Startup’s platform analyzes data from multiple sources to better predict buying preferences.
Startup’s platform analyzes data from multiple sources to better predict buying preferences.
System designed to label visual scenes according to type turns out to detect particular objects, too.
Kalyan Veeramachaneni tackles some of the biggest bottlenecks holding back the data science industry.
New algorithm could enable household robots to better identify objects in cluttered environments.
New system enables pattern-recognition systems to convey what they learn to humans.
CSAIL/LIDS team's algorithm doubles initial investment in under two months.
Deep-learning algorithm can weigh up a neighborhood better than humans.
When you can’t collect all the data you need, a new algorithm tells you which to target.
Algorithm lets independent agents collectively produce a machine-learning model without aggregating data.
Applications could include educational tools, systems to solve practical geometry or physics problems.
An algorithm that extends an artificial-intelligence technique to new tasks could aid in analysis of flight delays and social networks.
With a recently released programming framework, researchers show that a new machine-learning algorithm outperforms its predecessors.
Computer scientists and electrical engineers are devising algorithms that look for useful new patterns in data produced by medical sensors.
For database-driven applications, new software could reduce hardware requirements by 95 percent while actually improving performance.