This week’s highlights:
Chelsea Finn—assistant professor in computer science and electrical engineering at Stanford—joins “Intel on AI” to discuss the different kinds of reinforcement learning being used to help robots learn more autonomously, including her own efforts to advance model-agnostic meta-learning.
In collaboration with Intel, Microsoft, and IBM, University College London has developed MotionInput, a touchless computing software solution that uses AI technologies to analyze and convert interactions like hand gestures, facial expressions, and speech into mouse, keyboard, and joystick signals.
Are you a researcher, data scientist, or developer looking to build AI applications and seamlessly scale them from edge to cloud? Register today for the oneAPI DevSummit for AI 2022, a one-day virtual event focused on new tools and techniques to address common AI development challenges.
Better patient data = better patient care. Learn how researchers in Google Cloud’s healthcare AI division are developing tools that use computer vision, image search, and deep learning to analyze data in order to predict a patient’s likelihood of contracting—and even surviving—certain diseases.
While in-hospital blood transfusions are ideal, some clinics offer at-home transfusions to ease the burden on patients suffering from hematological diseases. Japan’s Wakayama Medical University Hospital uses an Intel-powered video recognition system to improve patient safety during home transfusions.