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Newswise: Artificial Intelligence Approach Points to Bright Future for Fusion Energy

Article ID: 716239

Artificial Intelligence Approach Points to Bright Future for Fusion Energy

Oak Ridge National Laboratory

A team of researchers led by Bill Tang of the US Department of Energy's (DOE's) Princeton Plasma Physics Laboratory (PPPL) and Princeton University recently tested its Fusion Recurrent Neural Network (FRNN) code, a novel artificial intelligence (AI) resource designed to predict plasma instabilities, on various high-performance computing (HPC) systems. A reliable way to predict and mitigate disruptions could accelerate the adoption of fusion as an environmentally friendly, virtually unlimited source of energy.

Released:
23-Jul-2019 11:15 AM EDT
Embargo will expire:
25-Jul-2019 11:00 AM EDT
Released to reporters:
23-Jul-2019 11:05 AM EDT

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Newswise: Learning to Look

Article ID: 716180

Learning to Look

Lawrence Berkeley National Laboratory

Inoviruses are filamentous viruses with small, single-stranded DNA genomes. Applying machine learning to more than 70,000 microbial and metagenome datasets, a team led by JGI scientists identified more than 10,000 inovirus-like sequences compared to the 56 previously known inovirus genomes.

Released:
22-Jul-2019 3:45 PM EDT
Newswise: Machine-learning competition boosts earthquake prediction capabilities

Article ID: 716022

Machine-learning competition boosts earthquake prediction capabilities

Los Alamos National Laboratory

Three teams who applied novel machine learning methods to successfully predict the timing of earthquakes from historic seismic data are splitting $50,000 in prize money from an open, online Kaggle competition hosted by Los Alamos National Laboratory and its partners.

Released:
18-Jul-2019 1:00 PM EDT
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  • Embargo expired:
    17-Jul-2019 1:00 PM EDT

Article ID: 715790

Improving the odds of synthetic chemistry success

University of Utah

In a new publication in Nature, University of Utah chemists Jolene Reid and Matthew Sigman show how analyzing previously published chemical reaction data can predict how hypothetical reactions may proceed, narrowing the range of conditions chemists need to explore. Their algorithmic prediction process, which includes aspects of machine learning, can save valuable time and resources in chemical research.

Released:
14-Jul-2019 1:00 PM EDT
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Article ID: 715900

Using deep learning to improve traffic signal performance

Penn State College of Engineering

Traffic signals serve to regulate the worst bottlenecks in highly populated areas but are not always very effective. Researchers at Penn State are hoping to use deep reinforcement learning to improve traffic signal efficiency in urban areas, thanks to a one-year, $22,443 Penn State Institute for CyberScience Seed Grant.

Released:
16-Jul-2019 3:05 PM EDT
Newswise: Cancer Device Created at Rutgers to See if Targeted Chemotherapy is Working

Article ID: 715760

Cancer Device Created at Rutgers to See if Targeted Chemotherapy is Working

Rutgers University-New Brunswick

Rutgers researchers have created a device that can determine whether targeted chemotherapy drugs are working on individual cancer patients. The portable device, which uses artificial intelligence and biosensors, is up to 95.9 percent accurate in counting live cancer cells when they pass through electrodes, according to a study in the journal Microsystems & Nanoengineering.

Released:
16-Jul-2019 1:15 PM EDT

Article ID: 715747

Rehab with robots

University of Wisconsin-Milwaukee

Rehabilitation devices that conform to the body provide more than support for feeble or rigid muscles. With embedded AI, these 'exoskeletons' communicate with muscles when the brain cannot.

Released:
16-Jul-2019 12:05 PM EDT
Newswise: Get up and go bots getting closer, study says

Article ID: 715846

Get up and go bots getting closer, study says

University of California San Diego

Robotics researchers at the University of California San Diego have for the first time used a commercial 3D printer to embed complex sensors inside robotic limbs and grippers. But they found that materials commercially available for 3D printing still need to be improved before the robots can be fully functional.

Released:
16-Jul-2019 8:00 AM EDT

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