CS Distinguished Colloquium Series
Highly accurate protein structure prediction with deep learning
Our work on deep learning for biology, specifically the AlphaFold system, has demonstrated that neural networks are capable of highly accurate modeling of both protein structure and protein-protein interactions.
A Quiet Revolution in Robotics
Bio: Vladlen Koltun received his PhD in 2002 and has worked across multiple fields of computer science. He has mentored more than 50 PhD students, postdocs, research scientists, and PhD student interns, many of whom are now successful research leaders.
The Future of Cloud Infrastructure for Large AI Models
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.
The Four Pillars of Machine Learning
I will present a unified perspective on the field of machine learning, following the structure of my recent book, "Probabilistic Machine Learning: Advanced Topics" which is centered on the "4 pillars of ML": predictions, decisions, disc
Making the Invisible Visible: Observing Complex Software Dynamics
From mobile and cloud apps to video games to driverless vehicle control, more and more software is time-constrained: it must deliver reliable results seamlessly, consistently, and virtually instantaneously. If it doesn't, customers are unhappy--and sometimes lives are put at risk.
Shading Languages and the Emergence of Programmable Graphics Systems
A major challenge in using computer graphics for movies and games is to create a rendering system that can create realistic pictures of a virtual world. The system must handle the variety and complexity of the shapes, materials, and lighting that combine to create what we see every day.