Machine learning & AI
The world of artificial intelligence (AI) has recently seen significant advancements in generative models, a type of machine-learning algorithm that "learns" patterns from sets of data in order to generate new, similar sets ...
Jun 24, 2024
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Computer Sciences
The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for ...
Apr 22, 2024
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Engineering
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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Robotics
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
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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112
Robotics
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 ...
Robotics
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
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
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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