Machine learning techniques advance experimental design
Imperial and chemical company BASF will reveal new techniques for optimizing experimental design at the machine learning conference NeurIPS.
Nov 1, 2022
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Engineering
News tagged with probability distribution
Robotics
Teaching robots to be team players with nature
Algae bloom, birds flock, and insects swarm. This en masse behavior by individual organisms can provide separate and collective good, such as improving chances of successful mating propagation or providing security. Now, ...
Sep 21, 2022
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Computer Sciences
Using artificial intelligence to find anomalies hiding in massive datasets
Identifying a malfunction in the nation's power grid can be like trying to find a needle in an enormous haystack. Hundreds of thousands of interrelated sensors spread across the U.S. capture data on electric current, voltage, ...
Feb 24, 2022
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Robotics
A technique that allows robots to estimate the pose of objects by touching them
Humans are able to find objects in their surroundings and detect some of their properties simply by touching them. While this skill is particularly valuable for blind individuals, it can also help people with no visual impairments ...
Jan 18, 2021 feature
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103
Robotics
By observing humans, robots learn to perform complex tasks, such as setting a table
Training interactive robots may one day be an easy job for everyone, even those without programming expertise. Roboticists are developing automated robots that can learn new tasks solely by observing humans. At home, you ...
Mar 6, 2020
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326
Computer Sciences
A simple statistical trick could help make a ubiquitous model of decision processes more accurate
Markov decision processes are mathematical models used to determine the best courses of action when both current circumstances and future consequences are uncertain. They've had a huge range of applications—in natural-resource ...
Mar 21, 2017
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Computer Sciences
Finding patterns in corrupted data: New model-fitting technique efficient even for data sets with hundreds of variables
Data analysis—and particularly big-data analysis—is often a matter of fitting data to some sort of mathematical model. The most familiar example of this might be linear regression, which finds a line that approximates ...
Oct 26, 2016
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