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110 of 224

Article ID: 709724

NUS researchers create water-resistant electronic skin with self-healing abilities

National University of Singapore

A team of NUS researchers led by Assistant Professor Benjamin Tee has created a transparent electronic skin that repairs itself in both wet and dry conditions

Released:
18-Mar-2019 2:05 AM EDT
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Article ID: 709631

Optimizing the human-robot workplace

Case Western Reserve University

While robots have been increasingly integrated into manufacturing since their introduction in the early 1960s, true human-robot workplace collaboration is still in the early stages and is only recently being earnestly studied by academics. Researchers anticipate humans taking on the more-nimble decision-making, while robots contribute by lifting heavy tools or putting the right tool at our side when needed.

Released:
14-Mar-2019 11:05 AM EDT
  • Embargo expired:
    12-Mar-2019 7:00 PM EDT

Article ID: 709362

Artificial Intelligence Reduces False Positive Screens for Lung Cancer

Health Sciences at the University of Pittsburgh

Right now, 96% of people who screen positive for lung cancer don't actually have a malignant growth. Machine learning can rule out cancer in a third of them, saving time, money and anxiety.

Released:
11-Mar-2019 12:00 AM EDT

Article ID: 709440

Faster Robots Demoralize Co-Workers

Cornell University

A Cornell University-led team has found that when robots are beating humans in contests for cash prizes, people consider themselves less competent and expend slightly less effort – and they tend to dislike the robots.

Released:
11-Mar-2019 4:05 PM EDT
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Article ID: 709401

How to train your robot (to feed you dinner)

University of Washington

UW researchers have developed a robotic system that can feed people who need someone to help them eat.

Released:
11-Mar-2019 12:05 PM EDT
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Article ID: 709222

Improving Molecular Imaging using a Deep Learning Approach

Rensselaer Polytechnic Institute (RPI)

Generating comprehensive molecular images of organs and tumors in living organisms can be performed at ultra-fast speed using a new deep learning approach to image reconstruction developed by researchers at Rensselaer Polytechnic Institute.

Released:
6-Mar-2019 3:05 PM EST
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Article ID: 709151

‘AI Development Reflects National Differences:’ Darden Global Innovators Roundtable Explores Artificial Intelligence in Asia

University of Virginia Darden School of Business

Companies are struggling to make sense of the ramifications of artificial intelligence (AI) for their countries and for their firms as the technology rapidly transforms nearly every core business function. And national differences are evident in how these corporations implement AI solutions.

Released:
5-Mar-2019 4:05 PM EST

Education

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Article ID: 709104

New ORNL AI tool revolutionizes process for matching cancer patients with clinical trials

Oak Ridge National Laboratory

A team of researchers from the Department of Energy’s Oak Ridge National Laboratory (ORNL) Health Data Sciences Institute (HDSI) have harnessed the power of artificial intelligence (AI) to better match cancer patients with clinical trials. The researchers were one of ten teams to develop a digital tool to address complex challenges relevant to medical conditions such as cancer and Lyme disease as part of The Opportunity Project (TOP) Health Sprint, a 14-week effort sponsored by the Census Bureau, coordinated by the Department of Health and Human Services, and led by two Presidential Innovation Fellows.

Released:
5-Mar-2019 10:05 AM EST
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Article ID: 709071

Scientists use machine learning to identify high-performing solar materials

Argonne National Laboratory

Thanks to a study that combines the power of supercomputing with data science and experimental methods, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory and the University of Cambridge in England have developed a novel “design to device” approach to identify promising materials for dye-sensitized solar cells (DSSCs).

Released:
5-Mar-2019 7:00 AM EST

Article ID: 709029

Neurodegenerative Diseases Identified Using Artificial Intelligence

Mount Sinai Health System

Researchers have developed an artificial intelligence platform to detect a range of neurodegenerative disease in human brain tissue samples, including Alzheimer’s disease and chronic traumatic encephalopathy.

Released:
4-Mar-2019 12:00 PM EST

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