October 20, 2020What role do clouds play in climate change? In an effort to understand that question, the hosts of Fix This Podcast invited Philip Stier on the program. Stier, a Professor of Atmospheric Physics at the University of Oxford and 2018 Machine Learning Research Award recipient, talked about how researchers use machine learning to better understand clouds and extreme weather patterns, and in turn, climate change.Machine learning algorithms and theory
AWS and PHDA collaborate to produce more accurate machine learning models for breast cancer screening and depressionOctober 06, 2020Last August, the Pittsburgh Health Data Alliance (PHDA) and Amazon Web Services (AWS) announced a new collaboration to advance innovation in areas such as cancer diagnostics, precision medicine, electronic health records, and medical imaging.
VentureBeat | August, 2020
Machine learning has graduated from the realm of science fiction to become a core, transformative technology for organizations across industries and categories. The unique potential and power of machine learning is sparking genuine innovation, powering the ideas that are improving lives and protecting our planet right now. With machine learning, organizations are making inroads toward ending the pandemic, protecting and supporting our veterans, finding homes for the homeless, understanding climate change, and more. But this is just the beginning.
Wired | August, 2019
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.
Wired | June, 2019
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.
Wired | May, 2019
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 award allowed us to scale up our experiments to learn traffic smoothing algorithms in high fidelity simulations. The RL policies learned from the work are now in the process of being transferred to actual vehicles for field operational testing on California freeways.
Alexandre Bayen, University of California, Berkeley