Deep learning and the Covid-19 learning curve
Framestore have been ever so kind as to include us with an invite to their deep learning talk on Covid-19. It is being hosted on Zoom this Thursday and is open to all VES members worldwide. Please find the link to the zoom invite below (you must be logged in to see it).
So much about Covid-19 is still unknown, even after months of astonishing global research. In this informal talk, I’ll describe how the open source deep learning community is trying to help answer the urgent need for fast, accurate, inexpensive Covid-19 population screening in mobile, urgent and primary care settings. I’ll discuss designs for a deep convolutional neural network (CNN) for Covid-19 detection, but also I hope to show that each move forward with the deep learning tools we’re making bumps headlong into broad, unanswered questions. Specifically, I’ll suggest the unexpected importance of the effort towards serological tests for those without symptoms, identifying individuals who have developed an immune response by overcoming a Covid-19 infection.
Aiming to cross-pollinate computer vision with traditional archaeological techniques, Kevin Cain heads the non-profit organization INSIGHT based in California. Kevin has also founded technology companies including Photon Factory, Smart Picture Technologies, and most recently plexus3D. Kevin has organized digital cultural heritage projects in collaboration with the American Research Center in Egypt Egyptian Antiquities Project (Cairo), the Egyptian Antiquities Dept. of the British Museum (London), the Metropolitan Museum’s Egyptian Art Dept. (New York), and the American Museum of Natural History (New York), the Louvre Museum in Paris and the Smithsonian Museums in Washington D.C. Kevin launched and directed the MFA Department of Computer Art at the Academy of Art University in San Francisco.