Upcoming Events

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Events Archive

MSML2020 - Mathematical and Scientific Machine Learning Conference

VIRTUAL Conference

The objective of this annual conference series is to promote the study of theory and algorithms of machine learning and applications in scientific and engineering disciplines such as physics, chemistry, material sciences, etc.

On the foundations of computational mathematics, Smale’s 18th problem and the potential limits of AI

There is a profound optimism on the impact of deep learning (DL) and AI in the sciences with Geoffrey Hinton concluding that 'They should stop educating radiologists now'. However, DL has an Achilles heel: it is universally unstable so that small changes in the initial data can lead to large errors in the final result. This has been documented...

Location: https://www.oneworldml.org/home
Speaker(s):
Tags: Seminars

Molecular Simulation with Machine Learning

A two-day virtual workshop covering theory and hands-on tutorials on the software package for molecular simulation with machine learning (ML) tools developed at the Computational Chemical Science Center “Chemistry in Solution and at Interfaces” (http://chemlabs.princeton.edu/ccsc/(...

Molecular Simulation with Machine Learning

A two-day virtual workshop covering theory and hands-on tutorials on the software package for molecular simulation with machine learning (ML) tools developed at the Computational Chemical Science Center “Chemistry in Solution and at Interfaces” (http://chemlabs.princeton.edu/ccsc/(...

Trainability and accuracy of artificial neural networks

The methods and models of machine learning (ML) are rapidly becoming de facto tools for the analysis and interpretation of large data sets. Complex classification tasks such as speech and image recognition, automatic translation, decision making, etc. that were out of reach a decade ago are now routinely performed by computers with a high...

Speaker(s):
Tags: Seminars

Towards a mathematical understanding of supervised learning: What we know and what we don't know

Two of the biggest puzzles in machine learning are: Why is it so successful and why is it quite fragile? This talk will present a framework for unraveling these puzzles from the perspective of approximating functions in high dimensions.

Location: https://www.oneworldml.org/
Speaker(s):
Tags: Seminars

Microsoft Azure Two-Part Cloud Computing Workshop

This is a hands-on 2-hour applied workshop, where attendees will learn new concepts by building their solutions on Azure and interacting directly with the instructors.

Reimagining Digitized Newspapers with Machine Learning

The 16 million digitized historic newspaper pages within Chronicling America, a joint initiative by the Library of Congress and the NEH, represent an incredibly rich resource for a wide range of users. Historians, journalists, genealogists, students, and members of the American public explore...

Speaker(s):

2020 CSML Virtual Undergraduate Poster Session

Independent work posters and papers are due on May 12th at 12pm EST. Please check your email for details

Check out an article on 2019's poster session here.

Princeton Research Day

To keep everyone safe and support social distancing, Princeton Research Day will not be held in person this year. We are exploring other possibilities with input from the campus community, and expect to announce those decisions by early April.

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