Upcoming Events

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Events Archive

CSML 2019 Poster Session

Location: Carl A. Fields Center, Multipurpose Room 104

Multiscale Model Reduction in Physics with Deep Networks

Approximating high-dimensional functionals with low-dimensional models is a central issue of machine learning and physics. This talk shows deep convolutional neural network architectures take advantage of scale separation, symmetries and sparse representations. We introduce simplified architectures which can be analyzed mathematically. Scale...
Location: Peyton Hall Auditorium, Room 145
Tags: Seminars

Princeton Research Day 2019

Princeton Research Day 2019 celebrates research and art from the natural sciences, social sciences, engineering, the arts and humanities. This year’s event will include something new – a full day of arts performances and lectures, in the third-floor Frist auditorium. The day will finish on the Mainstage with the...

Location: Frist Campus Center

The Power of Self-Learning Systems

Demis Hassabis will discuss the capabilities and power of self-learning systems. He will illustrate this with reference to some of DeepMind's recent breakthroughs, and talk about the implications of cutting-edge AI research for scientific and philosophical discovery.

Location: Wolfensohn Hall, Institute for Advanced Studies

We are all science storytellers

Scientists and the journalists who write about them share a common goal: raising awareness of the science that shapes our lives. But we often take different tacks toward achieving that goal. At a time when society increasingly looks to science for answers, how are scientists and journalists working together to ensure that science stories are...

Q&A Panel on SML 201 and the SML Undergraduate Certificate

Ever wonder why Data Scientist is being referred to as the “sexiest job of the 21st century”*? Sitting on the fence about joining the CSML certificate program? Are you curious about how your fellow undergraduate students continued their path in Data Analytics after finishing the course SML 201?

Sushi with Sophomores!

Inherent Trade-Offs in Algorithmic Fairness

Recent discussion in the public sphere about classification by algorithms has involved tension between competing notions of what it means for such a classification to be fair to different groups. We consider several of the key fairness conditions that lie at the heart of these debates, and discuss recent research establishing inherent trade-offs...
Location: Corwin Hall, Room 127
Tags: Seminars

Physics-informed Machine Learning For Climate, Urban, And Environmental Sciences

At the confluence of scientific simulation and modern machine learning there exists an opportunity to develop a “middle path” that leverages the strengths of both approaches to build machine-learning emulators of numerical simulation models. From the perspective of machine learning, incorporating simulation data may significantly reduce the need...
Location: Bowen Hall Auditorium Room 222
Tags: Seminars

Unsolved Data Problems

Unsolved Data Problems will introduce faculty and students in the computer and data sciences to the untapped research possibilities inherent in humanities data.

Location: Computer Science Department, Room 105