Google desenvolve IA que poderá diagnosticar doenças pela tosse

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[{"selector":"#anim-a965729a-da16-40c1-8187-a3ee5f326b12","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-ef22fb1e-13c7-4d88-855a-d6fe97b823c9","keyframes":{"opacity":[0,1]},"delay":0,"duration":1500,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-f64dc93d-d246-4c47-ba00-74b608a67608","keyframes":{"opacity":[0,1]},"delay":0,"duration":500,"easing":"cubic-bezier(.3,0,.55,1)","fill":"both"}] [{"selector":"#anim-53c8c08f-9c43-40b4-a395-3c7ed6725f9f","keyframes":{"transform":["scale(0.3333333333333333)","scale(1)"]},"delay":0,"duration":500,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}] Caio/Pexels Cientistas do Google desenvolveram uma ferramenta de Inteligência Artificial (IA) que pode ajudar a detectar e monitorar doenças através da avaliação de ruídos como tosse e respiração

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[{"selector":"#anim-2ce27f6f-4606-4cf9-b808-403954fa7967","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-d20c17aa-ed6b-4e71-abc0-4faf265c16a4","keyframes":{"opacity":[0,1]},"delay":0,"duration":1500,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-69dd9f03-a434-48fc-b72f-262c9b88e470","keyframes":{"opacity":[0,1]},"delay":0,"duration":500,"easing":"cubic-bezier(.3,0,.55,1)","fill":"both"}] [{"selector":"#anim-bdc69fcd-3614-48ad-b005-79729f006d4c","keyframes":{"transform":["scale(0.3333333333333333)","scale(1)"]},"delay":0,"duration":500,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}] PhotoMIX Company/Pexels O sistema, chamado Health Acoustic Representations (HeAR), foi treinado com um grande conjunto de dados e pode ser ajustado para executar diferentes tarefas

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[{"selector":"#anim-67771577-ed09-4a36-9010-3c316f10903e","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7c74cd5e-b2f9-4f2d-a8fc-722c23df9b82","keyframes":{"opacity":[0,1]},"delay":0,"duration":1500,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-13c0f8e2-ebd8-4166-aadf-dff9fbe97b53","keyframes":{"opacity":[0,1]},"delay":0,"duration":500,"easing":"cubic-bezier(.3,0,.55,1)","fill":"both"}] [{"selector":"#anim-6daf2718-3c82-4a3d-9ca3-efe76284f7f7","keyframes":{"transform":["scale(0.3333333333333333)","scale(1)"]},"delay":0,"duration":500,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}] Freepik Pelo fato de o HeAR ter sido treinado com uma gama ampla de sons humanos, é necessário apenas alimentá-lo com um conjunto de dados limitados para ajustá-lo

CNNBRASIL.COM.BR

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