Date: Thu, 28 Mar 2019 21:38:19 GMT
<p>In episode six of season five we talk about <a href="http://www.incompleteideas.net/IncIdeas/BitterLesson.html" target="_blank">Richard Sutton's A Bitter Lesson</a>. Chat about <a href="https://ethicsinaction.ieee.org/" target="_blank">IEEE's new Ethical Guidelines </a> and talk with Andrew Beam Senior Fellownn at Flagship Pioneering, Head of Machine Learning for Flagship VL57 and Assistant Professor, Department of Epidemiology, Harvard T.H. Chan School of Public Health. </p><p>Here are some of the papers we got to chat about! <a href="https://flagshippioneering.thriveapp.ly/job/121" target="_blank">Also, VL57 is hiring! </a></p><p>Adversarial attacks on Medical ML Science paper</p><p>Finlayson, S.G., Bowers, J.D., Ito, J., Zittrain, J.L., Beam, A.L. and Kohane, I.S., 2019. Adversarial attacks on medical machine learning. <em>Science</em>, <em>363</em>(6433), pp.1287-1289.</p><p>Link: <a href="https://cyber.harvard.edu/story/2019-03/adversarial-attacks-medical-ai-health-policy-challenge" target="_blank">https://cyber.harvard.edu/story/2019-03/adversarial-attacks-medical-ai-health-policy-challenge</a></p><p> </p><p>JAMA Papers</p><p>Beam, A.L. and Kohane, I.S., 2016. Translating artificial intelligence into clinical care. <em>Jama</em>, <em>316</em>(22), pp.2368-2369.</p><p>Link: <a href="https://www.dropbox.com/s/4o1va07tqwvrxsn/Beam_TranslatingAI_2016.pdf?dl=0" target="_blank">https://www.dropbox.com/s/4o1va07tqwvrxsn/Beam_TranslatingAI_2016.pdf?dl=0</a></p><p> </p><p>Beam, A.L. and Kohane, I.S., 2018. Big data and machine learning in health care. <em>Jama</em>, <em>319</em>(13), pp.1317-1318.</p><p>Link: <a href="https://www.dropbox.com/s/q1cixzmsdugq3vy/Beam_BigData_ML.pdf?dl=0" target="_blank">https://www.dropbox.com/s/q1cixzmsdugq3vy/Beam_BigData_ML.pdf?dl=0</a></p><p> </p><p>Opportunities in machine learning for healthcare:</p><p>Ghassemi, M., Naumann, T., Schulam, P., Beam, A.L. and Ranganath, R., 2018. Opportunities in machine learning for healthcare. <em>arXiv preprint arXiv:1806.00388</em>.</p><p>Link: <a href="https://arxiv.org/abs/1806.00388" target="_blank">https://arxiv.org/abs/1806.00388</a></p><p>See <a href="https://omnystudio.com/listener">omnystudio.com/listener</a> for privacy information.</p><br /><hr /><p style="color: grey; font-size: 0.75em;"> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer" style="color: grey;" target="_blank">acast.com/privacy</a> for more information.</p>