Assessing AI Fairness in Finance
Lachlan McCalman and Daniel Steinberg , Gradient InstituteGrace Abuhamad and Marc-Etienne Brunet , ServiceNowRobert C. Williamson , University of TübingenRichard Zemel, University of Toronto
Neurotech for intuitive human-machine interactions and faster gaming
By Melanie Scott I University Relations
The Potential of Machine Learning to Enhance Computational Fluid Dynamics
Ricardo Vinuesa1 I Steven L. Brunton
University of Waterloo team produces self-walking robot exoskeleton for those with mobility impairment
Cheyenne Bholla I Record Reporter
Anthropologist Lisa Messeri on the ‘metaverse’ and other digital worlds
Lisa Messeri I Yale
NRC-GAMMA: A novel benchmark gas meter image dataset
National Research Council Canada
Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2021
Daniel Gutierrez I insidebigdata.com
Mercedes offers Vision EQXX concept EV with 620 miles range on full charge
Matt Hamblen I fierceelectronics.com
Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy
nature.com
Why bitcoin is worse than a Madoff-style Ponzi scheme?
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications
Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stephane Tremblay, Alexander Wong
DeepMind’s AI can untangle knots. But does it guide human intuition?
Deep learning can help discover mathematical relations that evade human scientists, a recent paper by researchers at DeepMind shows. Like many things coming from the Alphabet-owned artificial intelligence lab, the paper, which is titled “Advancing mathematics by guiding human intuition with AI,” has received much attention from science and tech media.