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New method uses device cameras to measure pulse, breathing rate and could help telehealth


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Telehealth has become a critical way for doctors to still provide health care while minimizing in-person contact during COVID-19. But with phone or Zoom appointments, it s harder for doctors to get important vital signs from a patient, such as their pulse or respiration rate, in real time.
A University of Washington-led team has developed a method that uses the camera on a person s smartphone or computer to take their pulse and respiration signal from a real-time video of their face. The researchers presented this state-of-the-art system in December at the Neural Information Processing Systems conference.
Now the team is proposing a better system to measure these physiological signals. This system is less likely to be tripped up by different cameras, lighting conditions or facial features, such as skin color. The researchers will present these findings April 8 at the ACM Conference on Health, Interference, and Learning. ....

Xuhai Xu , Shwetak Patel , Xin Liu , Josh Fromm , Ziheng Jiang , Daniel Mcduff At Microsoft Research , University Of Washington , Information School , Conference On Health , Melinda Gates Foundation , Allen School , Neural Information Processing Systems , Computer Science , Daniel Mcduff , Microsoft Research , Health Care Systems Services , Technology Engineering Computer Science , Multimedia Networking Interface Design , Software Engineering , Robotry Artificial Intelligence , க்ஷின் லியூ , ஜோஷ் ஃப்ராம் , டேனியல் மக்டஃப் இல் மைக்ரோசாஃப்ட் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , தகவல் பள்ளி , மாநாடு ஆன் ஆரோக்கியம் ,

School of Engineering welcomes new faculty


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First row, left to right: Navid Azizan, Rodrigo Freitas, Marzyeh Ghassemi, Dylan Hadfield-Menell, Jack Hare. Second row, left to right: Samuel Hopkins, Michael Howland, Yoon Kim, Adrian Lozano-Duran, Kelly Metcalf Pate. Third row, left to right: Anand Natarajan, Jelena Notaros, Carlos Portela, Ashia Wilson, Sixian You.
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The School of Engineering is welcoming 15 new faculty members to its departments, institutes, labs, and centers. With research and teaching activities ranging from the development of robotics and AI technologies to the modeling and optimization of renewable energy systems, they are poised to make significant contributions in new directions across the school and to a wide range of research efforts around the Institute. ....

Comunidad Autonoma De Cataluna , United States , United Kingdom , Stanford University , City Of , University Of Southern California , University Of California At Berkeley , Jamesf Bell , Carlos Portela , Michaelf Howland , Jelena Notaros , Caltech Rolfh Sabersky , John Wright , Dennis Kochmann , Jack Hare , Google Deepmind , Robert George Gerstmyer , Samuel Hopkins , Rodrigo Freitas , Anand Natarajan , Anantha Chandrakasan , Chiara Daraio , Kellya Metcalf , Julia Greer , Yoon Kim , Marzyeh Ghassemi ,

AI conferences use AI to assign papers to reviewers


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The Conference on Neural Information Processing Systems, held in 2019 in Vancouver, Canada, is the largest in the discipline of artificial intelligence.
Khari Johnson/VentureBeat
AI conferences use AI to assign papers to reviewers
Apr. 1, 2021 , 3:30 PM
Artificial intelligence (AI) researchers are hoping to use the tools of their discipline to solve a growing problem: how to identify and choose reviewers who can knowledgeably vet the rising flood of papers submitted to large computer science conferences.
In most scientific fields, journals act as the main venues of peer review and publication, and editors have time to assign papers to appropriate reviewers using professional judgment. But in computer science, finding reviewers is often by necessity a more rushed affair: Most manuscripts are submitted all at once for annual conferences, leaving some organizers only a week or so to assign thousands of papers to a pool of thousands of reviewers. ....

British Columbia , Laurent Charlin , Shiuan Chang , Melisa Bok , Ivan Stelmakh , Meagan Phelan , Khari Johnson Venturebeat , Alina Beygelzimer , Matthew Hutson , Marcaurelio Ranzato , University Of Massachusetts , Carnegie Mellon University , International Conference On Machine Learning , Association For The Advancement Of Artificial Intelligence , University Of Montreal , Neural Information Processing Systems , Marc Aurelio Ranzato , Toronto Paper Matching System , Haw Shiuan Chang , International Conference , Machine Learning , Artificial Intelligence , பிரிட்டிஷ் கொலம்பியா , மெலிசா போக் , மீகன் ஃபெலன் , மேத்யூ ஹட்சன் ,