Join members of the MIT, MTL, and AI Hardware Program communities for a
Joint MTL/AI Hardware Program Seminar
Abstract: We are witnessing a transition in AI. Narrow systems able to execute specific tasks in a single domain are giving way to broad AI that learns more generally and can work across domains and problems. We need more innovation in hardware and infrastructure to power and deploy the next generation of AI models. Continuing to rely on conventional infrastructure and processors is simply not scalable — or sustainable.
In this talk, we will review the type of AI models driving this trend and the emerging approaches to tackle the sustainability issue at different levels of the computing stack. The hardware and software opportunities indeed are everywhere; from redefining the fundamental compute unit, to shrinking technology nodes, optimizing design of cores & architecture, building large systems, and integrating into the cloud fabric.
Bio: John Rozen is a Senior Research Scientist serving as Program Director of the IBM Research AI Hardware Center located in NY. He manages the resistive memory team. He obtained his PhD in Materials Science from Vanderbilt University. His contributions include research and development of novel processing for SiC power electronics, Si microelectronics, and non-volatile memory for analog computing. John is currently serving on the scientific boards of the SUNY-IBM AI Research Alliance, and SRC nCore Program.