Startup company founded by UB grads develops technology that streamlines process of detecting fevers

This thermal image was generated by Bifrost, a new technology that can detect the body temperatures of several people at once. (Image: Buffalo Automotion)

This thermal image was generated by Bifrost, a new technology that can detect the body temperatures of several people at once. (Image: Buffalo Automotion)

Wed, Sep 2nd 2020 11:40 am

Buffalo Automation adapted thermal-imaging technology it developed for self-driving boats to take temperatures of several people at once

By the University at Buffalo

Buffalo Automation, a startup company with roots at the University at Buffalo, is setting a new course that could eventually help organizations around the world better navigate return-to-work plans amid the COVID-19 pandemic.

The primary focus of the company, which was founded in 2015 by CEO Thiru Vikram and two fellow UB engineering undergraduates, has been to develop and implement AutoMate, an artificial intelligence (AI) system that enables ships and boats to essentially drive themselves. It uses thermal imaging to detect and steer around other vessels, buoys, swimmers, the shoreline and other non-water bodies during periods of

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Combining Satellite Data and AI for Detecting Plastic in the Oceans

The applications for the first edition of the AI Moonshot Challenge are now open. The international competition aims to boost the use of Space data, combined with Artificial Intelligence, in advancing scientific research and developing innovative solutions to societal problems.

In line with the National Strategy Portugal Space 2030, the AI Moonshot Challenge is promoted by the Portuguese Space Agency – Portugal Space in partnership with Unbabel Labs, and with the support of the Foundation for Science and Technology (FCT), the European Space Agency (ESA) and the National Innovation Agency (ANI). 

The challenge addresses universities, research institutes, state laboratories, or companies, including startups, that combine satellite data and Artificial Intelligence to develop R&D activities to detect, track, characterize and quantify different types of plastics in the oceans, also considering rivers, lakes or potential places of origin. 

Waste identification, quantification and monitoring

“The plastics that pollute the oceans can have very

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