Kavli Affiliate: Joshua Frieman | First 5 Authors: John Zhang, Joshua Frieman, , , | Summary: We explore a model introduced by Cyr-Racine, Ge, and Knox (arXiv:2107.13000(2)) that resolves the Hubble tension by invoking a “mirror world" dark sector with energy density a fixed fraction of the “ordinary" sector of Lambda-CDM. Although it reconciles cosmic […]
Kavli Affiliate: Edward Callaway | Authors: Nikolas L. Jorstad, Jennie Close, Nelson Johansen, Anna Marie Yanny, Eliza R. Barkan, Kyle J. Travaglini, Darren Bertagnolli, Jazmin Campos, Tamara Casper, Kirsten Crichton, Nick Dee, Song-Lin Ding, Emily Gelfand, Jeff Goldy, Daniel Hirschstein, Matthew Kroll, Michael Kunst, Kanan Lathia, Brian Long, Naomi Martin, Delissa McMillen, Trangthanh Pham, Christine […]
Kavli Affiliate: Joshua Berke | Authors: Ali Mohebi, Val L Collins and Joshua D Berke | Summary: Abstract Motivation to work for potential rewards is critically dependent on dopamine (DA) in the nucleus accumbens (NAc). DA release from NAc axons can be controlled by at least two distinct mechanisms: 1) action potentials propagating from DA […]
Kavli Affiliate: Ran Wang | First 5 Authors: Guanyu Gao, Yuqi Dong, Ran Wang, Xin Zhou, | Summary: Deep Neural Network (DNN)-based video analytics significantly improves recognition accuracy in computer vision applications. Deploying DNN models at edge nodes, closer to end users, reduces inference delay and minimizes bandwidth costs. However, these resource-constrained edge nodes may […]
Kavli Affiliate: Ran Wang | First 5 Authors: Guanyu Gao, Yuqi Dong, Ran Wang, , | Summary: Deep Neural Network (DNN) based video analytics empowers many computer vision-based applications to achieve high recognition accuracy. To reduce inference delay and bandwidth cost for video analytics, the DNN models can be deployed on the edge nodes, which […]