AI with AI
Episode 3.26: This is Feyn
Andy and Dave discuss the initial results from King’s College London’s COVID Symptom Tracker, which found fatigue, loss of taste and smell, and cough to be the most common symptoms. MIT’s CSAIL and clinical team at Heritage Assisted Living announce Emerald, a wi-fi box that uses machine learning analyzes wireless signals to record (non-invasively) a person’s vital signs. AI Landing has developed a tool that monitors the distance between people and can send an alert when they get too close. And Johns Hopkins University updates its COVID tracker to provide greater levels of detail on information in the US. In non-COVID news, OpenAI releases Microscope, which contains visualizations of the layers and neurons of eight vision systems (such as AlexNet). The JAIC announces its “Responsible AI Champions” for AI Ethics Principles, and also issues a new RFI for new testing and evaluation technologies. In research, Udrescu and Tegmark publish AI Feynman, and improved algorithm that can find symbolic expressions that match data from an unknown function; they apply the method to 100 equations from Feynman’s Lectures on Physics, and it discovers all of them. The report of the week comes from nearly 60 authors across 30 organizations, a publication on Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. The review paper of the week provides an overview of the State of the Art on Neural Rendering. The book of the week takes a look at the history of DARPA, in Transformative Technologies: Perspectives on DARPA. Stuart Kauffman gives his thoughts on complexity science and prediction, as they related to COVID-19. The ELLIS society holds its second online workshop on COVID on 15 April. Matt Reed creates Zoombot, a personalized chatbot to take your place in Zoom meetings. Ali Aliev creates Avatarify, to make yourself look like somebody else in real-time for your next Zoom meeting.