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Bowes Biomedical Investigator Targets Cellular Communication Code

Bowes Biomedical Investigator Targets Cellular Communication Code
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

Bowes jrGenentech hallWilliamk bowes jrErnestl prienEdward changShaeri mukherjeeBrian shoichetJoseph bondy denomyJames fraserAashish manglikDanica fujimoriSruthi raguveerHuixia wangBrian kobilkaGpcrs at stanford universitySchool of medicine department anesthesia

New evidence shows planting around school playgrounds protects children from air pollution

New evidence shows planting around school playgrounds protects children from air pollution
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Huixia wangBarbara maherVassil karloukovskiTracey rawlinsThomas bannanTomasz gonetProfessor at lancaster universityXian university of architectureLancaster universityUniversity of manchesterManchester city councilScientific reportsEmeritus professorGroundwork greater manchesterGreater manchesterExecutive member

New Evidence Shows Planting Around School Playgrounds Protects Children From Air Pollution

Scientists have published new evidence showing that selective planting of vegetation between roads and playgrounds can substantially cut toxic traffic-derived air pollution reaching school children.

Huixia wangBarbara maherVassil karloukovskiTracey rawlinsThomas bannanTomasz gonetEmily hendersonProfessor at lancaster universityXian university of architectureLancaster universityUniversity of manchesterManchester city councilScientific reportsEmeritus professorGroundwork greater manchesterGreater manchester

Mathematical and Scientific Foundations of Deep Learning (SCALE MoDL) | NSF

March 5, 2021 1:00 PM to March 5, 2021 2:00 PM Eastern Standard Time (New York, UTC/GMT-05:00) The management team for the NSF program Stimulating Collaborative Advances Leveraging Expertise in the Mathematical and Scientific Foundations of Deep Learning (SCALE MoDL) (NSF 21-561) will host a webinar to provide an overview of the program. Deep learning has met with impressive empirical success that has fueled fundamental scientific discoveries and transformed numerous application domains of artificial intelligence. Our incomplete theoretical understanding of the field, however, impedes accessibility to deep learning technology by a wider range of participants. Confronting our incomplete understanding of the mechanisms underlying the success of deep learning should serve to overcome its limitations and expand its applicability.

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