Today, machine learning echoes through the halls of every department. It beckons and calls to every young computationalist with songs of job security and the fear of missing out if the voice is not heeded. With every new position and grant proposal with ML/AI in its name, the growth in research using machine learning has been exponential. We haven't fallen behind as every field and sub-field of physics has quickly adopted machine learning into their arsenal of tools. In this mind-numbingly fast paced field with plenty of funding, papers and heated conversations, what can we as physicists do? How can we incorporate our expertise into the new tool we are adopting? In this talk, I will start by introducing machine learning from a physicists lens. Then, I shall talk about how physicists are incorporating physics knowledge into this new tool. Finally, I will share results from my own research, where using a physics informed approach one could embarrass some deep learning papers in condensed matter.
Note: This event will be held in-person only.
