This page requires that JavaScript be enabled in your browser.
Learn how »
Niramai Fever Test: Automated Screening for COVID Symptoms
Pratik Katte
This talk includes a detailed overview of deep learning for automated fever detection that led to the development of fever-test software that could help track early symptoms of COVID-19 in a population; deployment at scale to facilitate inference of deep learning models on low-compute and low-cost devices; analysis of the temperature records of the population; real impact of the work.
Thanks for your feedback.
Channels: Technology Conference
1311 videos match your search.
|
Eric Mjolsness Collaborative projects have resulted in several Mathematica-implemented modeling languages aimed at general-purpose biological modeling, which is a useful and topical but an indefinitely expandable goal. We update previous work on ... |
|
Jae Bum Jung/Yan Zhuang |
|
Phillip Todd |
|
Василий Сороко |
|
Phil Ramsden |
|
Lou D'Andria Constructing interfaces with Dynamic, DynamicModule and Manipulate is nothing new, but those aren't the only Dynamic primitives available in Mathematica. In this talk, we'll identify and demonstrate some of the ... |
|
Галина Михалкина, Григорий Фридман |
|
Галина Михалкина |
|
Андрей Кротких |
|
Антон Екименко, Кирилл Белов |
|
Физический институт имени П.Н. Лебедева |
|
Григорий Фридман, Олег Иванов |
|
Галина Михалкина |
|
Олег Кофнов |
|
Николай Сосновский |
|
Микаэл Эгибян |
|
Микаэл Эгибян |
|
Леонид Шифрин |
|
Вахагн Геворгян |
|
Алексей Семенов |