Computer Vision News - June 2020

3 Summary Artificial Intelligence 45 Computer Vision News has found great new stories, written somewhere else by somebody else. We share them with you, adding a short comment. Enjoy! A I S P O T L I G H T N E W S Agile and Intelligent Locomotion via Deep Reinforcement Learning As our readers know, we like the Google AI blog very much . And we also like robots very much. The Google AI blog has just published a new article about robots, so it’s great. It happens that most existing works in legged robots’ automation have focused on simple, low-level skills only, mostly using deep reinforcement learning (deep RL) technology through imitation of animal behaviors or performing meta learning. In this post Google researchers present two projects that aim to address the above problems and help close the perception-actuation loop for legged robots, with the goal of enabling robots to operate autonomously in the real world while combining the learned skills to generate more advanced behaviors. Read More Microsoft and Intel Test Malware Protection Through Computer Vision Remember the early years of malware, when Trojan horses lurked behind every download? It was almost twenty years ago and those who remember were much younger. Current malware threats are more advanced – and more evasive. Now, researchers from the Microsoft Threat Protection Intelligence Team have teamed up with Intel Labs to spearhead new, deep learning- based approaches for detecting and classifying malware. They think that computer vision can recognize patterns of malware in binary codes of program. To do that, they used “STAMINA” , that is static malware-as-image network analysis. Apparently, they achieved very high accuracy with only a handful of false positives. Read More Magnetic core-shell nanowires as MRI contrast agents for cell tracking This study shows how magnetic core-shell iron nanowires can be used for noninvasive medical imaging . The purpose is to identify the precise location of cells and their migration dynamics, in particular for achieving the therapeutic potential of cells after implantation into a host. As a result, Magnetic Resonance Imaging (MRI) is found to be a suitable, non-invasive technique for real-time cell monitoring of dynamic processes in living cells and organisms, when used in combination with contrast agents. This work was published in the Journal of Nanobiotechnology , which we almost never point to. Read More