Researchers Are Using Machine Learning to Screen for Autism in Children
An interdisciplinary team of researchers at Duke University hope to improve the difficult problem of early detection of autism spectrum disorder (ASD) by combining the ubiquity of mobile devices with the power of machine learning and computer vision.
The Robotic Future: Where Bots Operate Together and Learn From Each Other
For the most part, artificial intelligent systems haven’t been tasked with working and learning as a group, but Jonathan How, professor of aeronautics and astronautics at MIT, considers this a lost opportunity. How leads a research team that is changing the way that mobile, artificial intelligent devices collaborate and learn from each other.
Autonomous Vehicles: The Answer to Our Growing Traffic Woes
Alexandre Bayen, Director for the Institute for Transportation Studies and the Liao-Cho Professor of Engineering at the University of California at Berkeley, has been spearheading research into traffic abatement since 2004. At the root of Bayen’s work is Deep Reinforcement Learning (or Deep RL). Recent developments in Deep RL algorithms, coupled with the ease of AWS machine learning solutions, has led to significant advancement in the research.
In order to apply applicants should contact us at the below email address and request an application. Please note that as part of your application you must include your name, association with a university, a proposal summary detailing how your work will contribute or advance ML research, and requested award amount. Applicants submitted by or on behalf of a university, faculty, or a university department may be required to complete a conflicts check and certification of eligibility as part of their application in order to receive the award. Incomplete applications may not be considered.