CS Distinguished Colloquium Speaker
Speaker: Corey Sanders '04, Microsoft
Date: Monday, April 24
Time: 12:30pm EST
Location: CS 105
Host: Adam Finkelstein
Event page: https://www.cs.princeton.edu/events/26405
Title: The Future of Cloud Infrastructure for Large AI Models
Abstract: Corey Sanders, CVP, Microsoft Cloud for Industry, will join us to share how Microsoft is building the infrastructure requirements for scaling AI and Large Language Model (LLM) services, with a specific focus on Azure, GPU sourcing and the architecture of OpenAI-specific data centers.
Corey will highlight the impact of advanced AI models, such as Github CoPilot, including the workings and quality of these tools and models with real-world examples of how advanced AI models are already transforming the software development landscape.
Bio: Corey Sanders is the Corporate Vice President for Microsoft Cloud for Industry, an organization dedicated to serving our customers with tailored industry solutions as they transform into successful digital businesses.
Prior to this role, Corey led Microsoft Commercial Solution Areas, owning sales strategy and corporate technical sales across Solution Areas and Teams that include Digital Application Innovation, Azure Infrastructure & IoT, Azure Data & AI, Business Applications, Security, and Modern Workplace. His focus also included selling the full value of Microsoft cross-cloud solutions and advancing the technical depth of the Microsoft Solutions team.
Earlier, Corey was Head of Product for Azure Compute and the founder of Microsoft Azure’s Infrastructure as a Service (IaaS) business. During that time, he was responsible for products, strategy and technical vision aligned to core Azure compute services. He also led program management for multiple Azure services. Earlier in his career, Corey was a developer in the Windows Serviceability team with ownership across the networking and kernel stack for Windows.
In his first role at Microsoft in 2003, Corey served as an intern on the Windows team, after graduating from Princeton University, where he earned his Bachelor S.E. in Computer Science.
Today, Corey resides with his family in New Jersey.
CS Colloquium Speaker
Speaker: Kaiming He, Facebook AI Research (FAIR)
Date: Tuesday, April 25
Time: 12:30pm EST
Location: CS 105
Host: Jia Deng / Kai Li
Event page: https://www.cs.princeton.edu/events/26383
Title: In Pursuit of Visual Intelligence
Abstract: Last decade's deep learning revolution in part began in the area of computer vision. The intrinsic complexity of visual perception problems urged the community to explore effective methods for learning abstractions from data. In this talk, I will review a few major breakthroughs that stemmed from computer vision. I will discuss my work on Deep Residual Networks (ResNets) that enabled deep learning to get way deeper, and its influence on the broader artificial intelligence areas over the years. I will also review my work on enabling deep learning to solve complex object detection and segmentation problems in simple and intuitive ways.
On top of this progress, I will introduce recent research on learning from visual observations without human supervision, a topic known as visual self-supervised learning. I will discuss my research that contributed to shaping the two frontier directions on this topic. This research sheds light on future directions. I will discuss the opportunities for self-supervised learning in the visual world. I will also discuss how the research on computer vision may continue influencing broader areas, e.g., by generalizing self-supervised learning to scientific observations from nature.
Bio: Kaiming He is a Research Scientist Director at Facebook AI Research (FAIR). Before joining FAIR in 2016, he was with Microsoft Research Asia from 2011 to 2016. He received his PhD degree from the Chinese University of Hong Kong in 2011, and his B.S. degree from Tsinghua University in 2007. His research areas include deep learning and computer vision. He is best-known for his work on Deep Residual Networks (ResNets), which have made significant impact on computer vision and broader artificial intelligence. He received several outstanding paper awards at top-tier conferences, including CVPR, ICCV, and ECCV. He received the PAMI Young Researcher Award in 2018. His publications have over 400,000 citations.