Here are links to previous SCML presentations:

• 03 October 2018: Adrian Brasoveanu, “Cognitively realistic computational models for natural language understanding”
• 17 October 2018: Kishwar Shafin, “Deep neural networks for variant discovery in the human genome”
• 31 October 2018: David Parks, “Neural Net model architectures and compression”
• 14 November 2018: Angus Forbes, “Creative AI and Machine Learning for Graphics and Visualization”
• 28 November 2018: Dan Friedman, “Machine Learning and Economics”
• 23 January 2019:  Adam Smith, “Deep Learning and the Future of Search (PDF)”, “Deep Learning and the Future of Search (Google Slides)“
• 06 February 2019: Mohammad Jafari “On the Machine Learning-Based Prediction and Control of Biological Systems“
• 06 March 2019: David Reiman “AstroGANs: Deep Generative Models for Astrophysics and Galaxy Evolution“