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Article ID: 721199

Machine-Learning Analysis of X-ray Data Picks Out Key Catalytic Properties

Brookhaven National Laboratory

Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.

Released:
22-Oct-2019 3:05 PM EDT
Newswise: Los Alamos AI model wins flu forecasting challenge

Article ID: 721178

Los Alamos AI model wins flu forecasting challenge

Los Alamos National Laboratory

A probabilistic artificial intelligence computer model developed at Los Alamos National Laboratory provided the most accurate state, national, and regional forecasts of the flu in 2018, beating 23 other teams in the Centers for Disease Control and Prevention’s FluSight Challenge. The CDC announced the results last week.

Released:
22-Oct-2019 1:25 PM EDT
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Article ID: 721184

Pushy robots learn the fundamentals of object manipulation

Massachusetts Institute of Technology (MIT)

MIT researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects.

Released:
22-Oct-2019 1:05 PM EDT

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Embargo will expire:
24-Oct-2019 11:00 AM EDT
Released to reporters:
22-Oct-2019 12:00 PM EDT

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Article ID: 721078

Machine Learning’s Next Frontier: Epigenetic Drug Discovery

Sanford Burnham Prebys Medical Discovery Institute

Scientists at Sanford Burnham Prebys Medical Discovery Institute have developed a machine-learning algorithm that gleans information from microscope images—allowing for high-throughput epigenetic drug screens that could unlock new treatments for cancer, heart disease, mental illness and more. The study was published in eLife.

Released:
22-Oct-2019 8:00 AM EDT
Newswise: Bio-circuitry mimics synapses and neurons in a step toward sensory computing

Article ID: 720917

Bio-circuitry mimics synapses and neurons in a step toward sensory computing

Oak Ridge National Laboratory

Researchers at the Department of Energy’s Oak Ridge National Laboratory, the University of Tennessee and Texas A&M University demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing.

Released:
17-Oct-2019 8:30 AM EDT
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Article ID: 720869

Do we trust artificial intelligence agents to mediate conflict? Not entirely

University of Southern California (USC)

We may listen to facts from Siri or Alexa, or directions from Google Maps or Waze, but would we let a virtual agent enabled by artificial intelligence help mediate conflict among team members? A new study says not just yet.

Released:
16-Oct-2019 12:05 PM EDT

Social and Behavioral Sciences

Newswise: Materials’ increased capacity, efficiency could lower the bar for hydrogen technology

Article ID: 720772

Materials’ increased capacity, efficiency could lower the bar for hydrogen technology

Sandia National Laboratories

The Hydrogen Materials Advanced Research Consortium (HyMARC), a multilab collaboration, is developing two types of hydrogen storage materials to meet federal targets. Now, the newly expanded collaboration is using the most promising strategies to optimize the materials for future use in vehicles, potentially offering more compact onboard storage systems, reduced operating pressures and significant cost savings.

Released:
15-Oct-2019 11:05 AM EDT
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  • Embargo expired:
    14-Oct-2019 7:45 PM EDT

Article ID: 720663

Using AI to Screen for Diabetic Eye Disease Feasible in the Real World

American Academy of Ophthalmology (AAO)

New research shows that an automated, artificial intelligence (AI) screening system accurately detects diabetic retinopathy 95.5 percent of the time.

Released:
13-Oct-2019 4:30 PM EDT

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