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Article ID: 706709

Safety in numbers: mobile robots could save lives during emergency evacuations

Penn State College of Engineering

To address the unique challenges that emergency evacuation scenarios present, Alan Wagner, assistant professor of aerospace engineering at Penn State, and a team of researchers propose to use a coordinated collection of mobile robots as authority figures to direct evacuees for rapid, orderly and safe evacuations, thanks to a $1.5M National Science Foundation grant.

Released:
17-Jan-2019 4:05 PM EST

Article ID: 706648

Measuring AI's ability to learn is difficult

University of Waterloo

Organizations looking to benefit from the artificial intelligence (AI) revolution should be cautious about putting all their eggs in one basket, a study from the University of Waterloo has found.

Released:
17-Jan-2019 11:15 AM EST

Article ID: 706614

New AI can detect urinary tract infections

University of Surrey

New AI developed at the University of Surrey could identify and help reduce one of the top causes of hospitalisation for people living with dementia: urinary tract infections (UTI).

Released:
16-Jan-2019 2:50 PM EST

Article ID: 706507

New study shows animals may get used to drones

Oxford University Press

A new study in Conservation Physiology shows that over time, bears get used to drones. Previous work indicated that animals behave fearfully or show a stress response near drone flights. Using heart monitors to gauge stress, however, researchers here found that bears habituated to drones over a 3 to 4-week period and remained habituated.

Released:
15-Jan-2019 12:10 PM EST
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Article ID: 706211

FAU Creates Florida’s First NSF-funded AI and Deep Learning Laboratory

Florida Atlantic University

FAU has received a $652,820 grant to establish the first NSF-funded Major Research Instrumentation (MRI) Artificial Intelligence and Deep Learning Training and Research Laboratory in Florida.

Released:
10-Jan-2019 9:00 AM EST
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Article ID: 706274

NUS scientists harness machine learning to uncover new insights into the human brain

National University of Singapore

An inter-disciplinary research team led by the National University of Singapore has successfully employed machine learning to uncover new insights into the cellular architecture of the human brain. This approach could potentially be used to assess treatment of neurological disorders, and to develop new therapies.

Released:
10-Jan-2019 8:45 AM EST
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Article ID: 706277

Physics student develops machine-learning model for energy and environmental applications

West Virginia University - Eberly College of Arts and Sciences

A West Virginia University physics student has created a new machine-learning model that has the potential to make searching for energy and environmental materials more efficient.

Released:
10-Jan-2019 8:05 AM EST
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Article ID: 706259

Rush Just 3rd Hospital to Achieve “Pinnacle” of Predictive Analytics Functionality

Rush University Medical Center

Healthcare Information and Management Systems Society recognizes Rush University Medical Center for reaching Stage 7 on the Adoption Model for Analytics Maturity

Released:
9-Jan-2019 4:40 PM EST

Article ID: 706250

Pesquisa da Mayo Clinic usa inteligência artificial para desenvolver detector precoce de doença cardíaca

Mayo Clinic

Um estudo da Mayo Clinic descobriu que aplicar inteligência artificial em um teste amplamente disponível e barato – o eletrocardiograma – resulta em um indicador simples e acessível da disfunção ventricular esquerda assintomática, um precursor da insuficiência cardíaca. A equipe de pesquisa descobriu que a precisão do teste se compara de forma favorável com a de outros métodos comuns de triagem, como a mamografia para o câncer de mama. As descobertas foram publicadas na Nature Medicine.

Released:
9-Jan-2019 4:05 PM EST

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