Speaker: Santiago Miret, AI Researcher at Intel Labs https://scholar.google.com/citations?user=HLQ_te4AAAAJ&hl=en
Title: AI for Materials Discovery at Intel Labs
Abstract: Machine Learning (ML) methods that can process large amounts of heterogenous data have tremendous potential to accelerate the end-to-end discovery, synthesis, and characterization of novel materials to address global-scale challenges like clean energy, sustainable semiconductor manufacturing and drug discovery. In this talk, I will present an overview of Intel Labs’ research efforts and community engagement efforts on ML for materials discovery along with technical deep dives focusing on two ambitious goals: 1. Accelerating scientific simulation by >100x using geometric deep learning and software tools to enable large-scale deployment of ML models in real-world simulations; 2. Leveraging Large Language Models (LLMs) as scientific assistants to automate scientific tasks for materials discovery.
Date and Time: October 10, 2024, 11am-noon ET / 10-11am CT
Location: IBM Thomas J. Watson Research Center, Yorktown Heights, New York
This will be a wonderful opportunity to connect with other experts and engage in fruitful discussions.
https://go.illinois.edu/IIDAISeminar
You may also schedule a Zoom meeting with Santiago by contacting Andre Schleife (schleife@illinois.edu) if you’re interested.