Computer Sciences
University at Buffalo computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes.
Mar 11, 2021
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189
Computer Sciences
The perils of machine learning—using computers to identify and analyze data patterns, such as in facial recognition software—have made headlines lately. Yet the technology also holds promise to help enforce federal regulations, ...
Mar 8, 2021
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61
Computer Sciences
At a time when many versions of AI rely on pre-established data sets for image recognition, Facebook has developed SEER (Self-supERvised) – a deep learning solution able to register images on the Internet independent of ...
Computer Sciences
Machine-learning (ML) systems are becoming pervasive not only in technologies affecting our day-to-day lives, but also in those observing them, including face expression recognition systems. Companies that make and use such ...
Mar 3, 2021
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65
Energy & Green Tech
Researchers from the University establish a new methodology to improve, from space and through machine learning, the observation and analysis of the terrestrial biosphere. This statistical approach will represent a significant ...
Mar 1, 2021
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157
Energy & Green Tech
Texas A&M University researchers have designed a reinforcement-based algorithm that automates the process of predicting the properties of the underground environment, facilitating the accurate forecasting of oil and gas reserves.
Feb 23, 2021
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48
Computer Sciences
New EPFL/INRIA research shows for the first time that it is possible for our mobile devices to conduct machine learning as part of a distributed network, without giving big global tech companies access to our data.
Feb 15, 2021
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120
Machine learning & AI
When the COVID-19 pandemic struck in early 2020, doctors and researchers rushed to find effective treatments. There was little time to spare. "Making new drugs takes forever," says Caroline Uhler, a computational biologist ...
Feb 15, 2021
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210
Computer Sciences
Cold Spring Harbor Laboratory (CSHL) Assistant Professor Peter Koo and collaborator Matt Ploenzke reported a way to train machines to predict the function of DNA sequences. They used "neural nets," a type of artificial intelligence ...
Feb 8, 2021
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481
Energy & Green Tech
Imagine looking for the optimal configuration to build an organic solar cell made from different polymers. How would you start? Does the active layer need to be very thick, or very thin? Does it need a large or a small amount ...
Jan 29, 2021
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