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 ...
Jun 07, 2019 feature
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210
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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79
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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25
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 ...
Mar 29, 2019 feature
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78
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 ...
Mar 20, 2019 feature
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95
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 ...
Mar 01, 2019 weblog
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26
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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126
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 ...
Dec 11, 2018 feature
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42
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 07, 2018
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34
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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262
Computer Sciences
Researchers at Sapientia University in Romania and Université de Lyon have recently carried out a performance evaluation of unrestricted mouse usage for impostor detection. Their findings, pre-published on arXiv, suggest ...
Oct 25, 2018 feature
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72
Computer Sciences
Researchers at Facebook have recently compiled a dataset of 5 million personas and 700 million persona-based dialogues. This database could be used to train end-to-end dialogue systems, resulting in more engaging and rich ...
Sep 18, 2018 feature
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49
Internet
Google, from Day One, got big by getting into the business of finding information. Years later, Google is talking serious business about datasets. Google is launching a new search engine to help scientists find the datasets ...
Sep 06, 2018 weblog
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295
Computer Sciences
Researchers at Orange Labs and Normandie University have developed a novel deep neural model for audiovisual emotion recognition that performs well with small training sets. Their study, which was pre-published on arXiv, ...
Aug 17, 2018 feature
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195
Computer Sciences
Every dataset in the observable universe has a fundamental geometry or shape to it, but that structure can be highly complicated. To make it easier to visualize complicated datasets, a Dartmouth research team has created ...
May 07, 2018
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