Computer Sciences
Human decision-making is often difficult to predict and delineate theoretically. Nonetheless, in recent decades, several researchers have developed theoretical models aimed at explaining decision-making, as well as machine ...
Energy & Green Tech
Solar power researchers have traditionally only used the power measurements from single residential solar photovoltaic (PV) systems to estimate the power generated within a city. But one installation isn't a good representation ...
May 28, 2019
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Computer Sciences
Computer scientists at the University of California San Diego have developed FitRec, a recommendation tool powered by deep learning, that is able to better estimate runners' heart rates during a workout and predict and recommend ...
Apr 22, 2019
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Robotics
Researchers at Rutgers University have recently developed a probabilistic approach for building 3-D models of unknown objects while they are being manipulated by a robot. Their approach, outlined in a paper pre-published ...
Computer Sciences
Researchers at UC Berkeley and Ecole des Ponts Paris Tech have recently developed a deep learning approach for discovering recurring visual patterns in art collections. Their paper, pre-published on arXiv, will be presented ...
Software
This may sound like a mouthful but it really means much. Mozilla is talking about the "largest to-date public domain transcribed voice dataset." Translation: Over 14,000 people. In 18 languages. Of almost 1,400 hours (1,368 ...
Computer Sciences
We've learned in recent years that AI systems can be unfair, which is dangerous, as they're increasingly being used to do everything from predicting crime to determining what news we consume. Last year's study showing the ...
Jan 29, 2019
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Machine learning & AI
Researchers at the University of Texas at Arlington have recently explored the use of machine learning for emotion recognition based solely on paralinguistic information. Paralinguistics are aspects of spoken communication ...
Computer Sciences
A new study by MIT researchers finds that the growing practice of compiling massive, anonymized datasets about people's movement patterns is a double-edged sword: While it can provide deep insights into human behavior for ...
Dec 7, 2018
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Machine learning & AI
With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it's never been more important to look at how they arrive at decisions.
Nov 16, 2018
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