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Article ID: 719176

Artificial intelligence probes dark matter in the universe

ETH Zürich

Understanding the how our universe came to be what it is today and what will be its final destiny is one of the biggest challenges in science.

Released:
18-Sep-2019 10:05 AM EDT
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Article ID: 719087

UCI team uses machine learning to help tell which wildfires will burn out of control

University of California, Irvine

Irvine, Calif., Sept. 17, 2019 – An interdisciplinary team of scientists at the University of California, Irvine has developed a new technique for predicting the final size of a wildfire from the moment of ignition. Built around a machine learning algorithm, the model can help in forecasting whether a blaze is going to be small, medium or large by the time it has run its course – knowledge useful to those in charge of allocating scarce firefighting resources.

Released:
17-Sep-2019 11:30 AM EDT
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Article ID: 718836

New algorithm can distinguish cyberbullies from normal Twitter users with 90 percent accuracy

Binghamton University, State University of New York

A team of researchers, including faculty at Binghamton University, have developed machine learning algorithms which can successfully identify bullies and aggressors on Twitter with 90 percent accuracy.

Released:
16-Sep-2019 9:00 AM EDT
Newswise: Argonne explores how ants, bees, and fruit flies can be the next big buzz in artificial intelligence

Article ID: 718911

Argonne explores how ants, bees, and fruit flies can be the next big buzz in artificial intelligence

Argonne National Laboratory

The ability to learn and adapt in real time is a central feature of biological systems. Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are exploring the use of neuromorphic computer chips that demonstrate this versatility to enhance our ability to efficiently process information in space and in other extreme environments.

Released:
12-Sep-2019 12:05 PM EDT
Newswise: Machine learning in agriculture:  scientists are teaching computers to diagnose soybean stress

Article ID: 718883

Machine learning in agriculture: scientists are teaching computers to diagnose soybean stress

Iowa State University

Machine learning could lead to automated processes that would allow soybean producers to diagnose crop stresses more efficiently. A multi-disciplinary team at Iowa State University recently received a grant to develop the technology, which could lead to unmanned aerial vehicles surveying fields and automatically analyzing crop images.

Released:
12-Sep-2019 10:05 AM EDT

Article ID: 718837

Nerve-like ‘optical lace’ gives robots a human touch

Cornell University

A new synthetic material that creates a linked sensory network similar to a biological nervous system could enable soft robots to sense how they interact with their environment and adjust their actions accordingly.

Released:
11-Sep-2019 2:05 PM EDT
Newswise: Chasing storm data: machine learning looks for useful data in U.S. thunderstorm reports

Article ID: 718806

Chasing storm data: machine learning looks for useful data in U.S. thunderstorm reports

Iowa State University

Iowa State researchers are using machine-learning tools to clean up thunderstorm reports compiled by the National Weather Service. The goal is to determine which reports accurately describe storms that had severe winds. Accurate data could lead to new tools that predict severe thunderstorm winds.

Released:
11-Sep-2019 10:05 AM EDT
Newswise: From years to days: Artificial Intelligence speeds up photodynamics simulations

Article ID: 718790

From years to days: Artificial Intelligence speeds up photodynamics simulations

University of Vienna

The prediction of molecular reactions triggered by light is to date extremely time-consuming and therefore costly. A team led by Philipp Marquetand from the Faculty of Chemistry at the University of Vienna has now presented a method using artificial neural networks that drastically accelerates the simulation of light-induced processes.

Released:
11-Sep-2019 6:05 AM EDT
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Article ID: 718726

Mayo Clinic selects Google as strategic partner for health care innovation, cloud computing

Mayo Clinic

Mayo Clinic and Google announced a 10-year strategic partnership on Tuesday, Sept. 10. This partnership will redefine how health care is delivered and accelerate the pace of health care innovation through digital technologies.

Released:
10-Sep-2019 10:05 AM EDT

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