High-fidelity cardiovascular monitoring | Sponsored AI research at University of Michigan
High-fidelity cardiovascular monitoring
WEST LAFAYETTE, IN–High-tech startup LifeSpan will use part of a Phase I STTR grant to conduct research at the Purdue University School of Industrial Engineering. Through a $255,409 fund from the National Science Foundation, LifeSpan will fund research by Purdue University researcher Wenzhuo Wu, who has developed a wearable triboelectric device capable of high-fidelity cardiovascular monitoring. LifeSpan will develop it and its game-based stress and anxiety intervention technology.
Norfolk Southern to support entrepreneurs in sustainability-focused tech
ATLANTA, GA–Transportation company Norfolk Southern is gifting Georgia Tech with $750,000 that will support an initiative for entrepreneurs in sustainability-focused tech. The gift will support one-on-one coaching via a dedicated ATDC startup catalyst who will manage the sustainability vertical and work to build the pipeline of innovators from across Georgia who are in this space and scaling disruptive technologies to bring to the marketplace.
Sponsored AI research at University of Michigan
ANN ARBOR, MI–The University of Michigan in Ann Arbor will recruit and train 60 postdoctoral fellows over the next six years as part of a new global partnership that aims to accelerate the next scientific revolution by applying artificial intelligence to research in science, technology, engineering, and mathematics. With more than $10 million in support from Schmidt Futures, the Michigan Institute for Data Science at U-M will hire 10 postdoctoral fellows annually for up to six years so they can learn and apply AI methods to their academic research projects.
Amazon Research award to Kansas State
MANHATTAN, KS–A professor of computer science at Kansas State University has received an Amazon Research Award to study evolving machine learning systems. Pavithra Prabhakar was one of 74 recipients of the awards from Amazon, which include an unrestricted gift, access to more than 300 Amazon public datasets, and Amazon Web Services’ artificial intelligence and machine learning services and tools.