Upcoming Events

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Events Archive

Hydrological modeling in the era of big data and artificial intelligence

Hydrological modeling in the era of big data and artificial intelligence
Nowadays, all sorts of sensors, from ground to space, collect a huge volume of data about the Earth. Recent advances in artificial intelligence (AI) provide unprecedented opportunities for data-driven hydrological modeling using such “Big Earth Data”. However, many critical issues remain to be addressed. For example, there lacks efficient...
Location: Virtual Seminar
Speaker(s):
Yi Zheng
School of Environmental Science and Engineering at Southern University of Science and Technology
Tags: Featured Event, Seminars

Leveraging the Advanced Capabilities of the Traverse Supercomputer

Leveraging the Advanced Capabilities of the Traverse Supercomputer
The new Traverse supercomputer, which is composed of 46 IBM POWER9 nodes with 4 NVIDIA V100 GPUs per node, has an impressive peak performance of over 1.4 PFLOPS. However, to take full advantage of this computational power, one must have specialized knowledge of both the hardware and software.
Speaker(s):
Jonathan Halverson
Princeton University
Stephane Ethier
PPPL
Tags: Research Computing Workshop

Azure Machine Learning

Azure Machine Learning
In this workshop, you will learn the most important concepts of the machine learning workflow that data scientists follow to build an end-to-end data science solution on Azure. You will learn how to find, import, and prepare data, select a machine learning algorithm, train, and test the model, and deploy a complete model to an API. You will get...
Tags: Azure Workshops, Featured Event

Azure 101: Cloud Basics and Getting Started

Azure 101: Cloud Basics and Getting Started
Participants will learn the basics of cloud computing, getting started on Azure, and then move on to Azure’s Data and ML tool. Class participants should watch the four prerequisite videos prior to the live workshop.
Tags: Azure Workshops, Featured Event

Follow the Money: Best Practices for Cloud Cost Optimization

Follow the Money: Best Practices for Cloud Cost Optimization
This workshop will present various ways for identifying mismanaged resources, eliminating waste and optimizing cloud computing costs. No previous knowledge of cloud computing is required.
Speaker(s):
Irene Kopaliani
Princeton University
Tags: Research Computing Workshop

Geometric Insights into Spectral Clustering by Graph Laplacian Embeddings

Geometric Insights into Spectral Clustering by Graph Laplacian Embeddings

We present new theoretical results for procedures identifying coarse structures in a given data set by means of appropriate spectral embeddings. We combine ideas from spectral geometry, metastability, optimal transport, and spectral analysis of weighted graph Laplacians to describe the embedding geometry.

Location: https://www.oneworldml.org/upcoming-events
Speaker(s):
Franca Hoffman
Tags: Featured Event, Seminars

Towards a Secure Collaborative Learning Platform

Towards a Secure Collaborative Learning Platform
Multiple organizations often wish to aggregate their sensitive data and learn from it, but they cannot do so because they cannot share their data. For example, banks wish to run joint anti-money laundering algorithms over their aggregate transaction data because criminals hide their traces across different banks. Bio: Raluca Ada Popa is an...
Location: https://princeton.zoom.us/j/97190696906
Speaker(s):
Raluca Ada Popa
University of California, Berkeley
Tags: Featured Event, Seminars

DataX Workshop Series: Synthetic Control Methods | Day 2 (POSTPONED UNTIL 2021)

DataX Workshop Series: Synthetic Control Methods | Day 2 (POSTPONED UNTIL 2021)

This event has been postponed until 2021. More information will be provided when available.

Tags: DataX Workshop

DataX Workshop Series: Synthetic Control Methods | Day 1 (POSTPONED UNTIL 2021)

DataX Workshop Series: Synthetic Control Methods | Day 1 (POSTPONED UNTIL 2021)

This event has been postponed until 2021. More information will be provided when available.

Tags: DataX Workshop, Featured Event

Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks

Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks

In this talk, we propose an analysis of gradient descent on wide two-layer ReLU neural networks that leads to sharp characterizations of the learned predictor. The main idea is to study the dynamics when the width of the hidden layer goes to infinity, which is a Wasserstein gradient flow.

Location: https://www.oneworldml.org/home
Speaker(s):
Lénaïc Chizat
Université Paris-Saclay
Tags: Featured Event, Seminars

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