Los Alamos National Laboratory staff scientist Nga Nguyen-Fotiadis leads a virtual conversation “Deep focus: Techniques for image recognition in machine learning” at the Dec. 14 Science on Tap. Photo Courtesy LANL
LOS ALAMOS CREATIVE DISTRICT NEWS
Which is more powerful, the Trinity supercomputer or a human brain? How is a computer’s neural network different from a human’s? And what, if anything, does that have to do with the shows Netflix recommended for you last night?
Monday, Dec. 14, 5:30–7 p.m., Los Alamos National Laboratory staff scientist Nga Nguyen-Fotiadis leads us in the virtual conversation “Deep focus: Techniques for image recognition in machine learning,” the latest Science on Tap.
Nga is an expert in machine learning, a branch of artificial intelligence allowing computer systems to learn from experience without being explicitly programmed. A member of the Information Sciences group in the Computer, Computational and Statistical Sciences Division, she applies her expertise in deep learning and sparse coding to solve complex problems. She holds a doctorate in condensed matter physics and worked in the field of quantum physics at University of Antwerp, University of Maryland–College Park, and University of Wisconsin–Madison.
Science on Tap is a convivial opportunity to engage with Lab scientists on their current projects. A brief presentation is followed by questions, answers and discussion. The fun takes place on the third Monday of each month from 5:30 to 7 p.m. virtually — and eventually at local watering holes in Los Alamos and White Rock.
The free lecture series is a joint project between the Bradbury and the Los Alamos Creative District.
Register here: https://lanl-events.webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=lanl-events&service=6&rnd=0.7962650191659929&main_url=https%3A%2F%2Flanl-events.webex.com%2Fec3300%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26%26%26EMK%3D4832534b000000047e4625973342da527bfcf34863f7b6686288f968def1f933b138cb218a89d8e5%26siteurl%3Dlanl-events%26confViewID%3D178264353939689577%26encryptTicket%3DSDJTSwAAAASVKBImu4ac0VuanYJkfzSpcVl7LO0NAQ7BR-yiur29Mg2%26
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