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ABOUT THE SPEAKER:
Amir Hajian has a diverse work experience spanning over 15 years. Amir’s most recent role is as the Chief Science Officer at Arteria AI, where he leads teams in the development of Agentic AI to solve complex problems. Prior to this, he worked as the Director of Applied Research at Scribd, where he established and led the AI team in creating innovative machine learning products. Before Scribd, Amir was a Director of AI Research at Thomson Reuters, where he co-founded the company’s data science lab in Canada. Amir also worked at the University of Toronto and Princeton University as a Research Scientist. Amir’s expertise lies in machine learning, AI, physics, quantum, and data science, and he has a proven track record of building successful teams and delivering impactful solutions.
Amir has a PhD in Astrophysics and has published a large number of peer reviewed articles in credible journals and conferences.
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ABSTRACT:
What if your computer’s thermal noise, the very thing engineers spend billions trying to suppress, could be the engine of machine intelligence? Thermodynamic computing makes exactly that bet, harnessing the natural drift of physical systems toward equilibrium to perform probabilistic inference at the hardware level. In this talk, I’ll show what that looks like in practice, using a concrete image denoising task to train an energy based model using familiar methods, and then mapping it to a thermodynamic system to ground the physics in something tangible. We will explore the concept, see it in action, and discuss the an energy-based future of AI that runs on deep laws of physics.
WHAT YOU’LL LEARN:
Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.
Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.
Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.
Ignite what is an Ignite Talk?
Ignite is an innovative and fast-paced style used to deliver a concise presentation.
During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.
The result is a fun and engaging five-minute presentation.
You can see all our speakers and full agenda here