CBMS Deep Learning and Numerical PDEs, USA, Jun 2023

 

The Mathematics Department at Morgan State University is excited to

host the CBMS Conference: Deep Learning and Numerical PDEs, which will

take place at Morgan State University from June 19 – June 24, 2023.

 

This conference will bring together a diverse group of researchers

from PDE theory, scientific computing, and machine learning who work

on both the theoretical and applied aspects of solving PDEs using

neural networks. There will be a distinguished lecture series to be

delivered by Prof. Jinchao Xu (KAUST and Penn State) and invited

plenary talks from distinguished speakers in the one and half-day

workshop. Our goal is to present a comprehensive introduction to the

diverse set of research opportunities in machine learning for

scientific computing. We are also aiming to create an inclusive

environment geared toward exposing traditionally disadvantaged groups

to this important new field of research. Information about important

deadlines will be made available later this year.

 

For more information, please visit

https://sites.google.com/view/nsf-cbms-dl-nmpde/home

Especialización en Higiene y Seguridad del Trabajo _ Edición 2023

Estimada/o colega,

En esta oportunidad te hacemos llegar información sobre la Especialización en Higiene y Seguridad del Trabajo, ofrecida por el Departamento de Seguridad del Trabajo y Ambiente de la FIUBA, que ya abrió sus inscripciones para la edición 2023.

En el archivo adjunto encontrarás toda la información respecto a la carrera.

IMPORTANTE: Para consultas, informes e inscripción,  por favor escribir  a: diat@fi.uba.ar / aperez@fi.uba.ar

Aprovechamos la ocasión para enviarte un afectuoso saludo,

Subsecretaría de Relación con Graduados FIUBA

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Free IEEE Live Stream Webinar


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Carbon-Aware Computing @ Google, and Beyond
Free Live Stream webinar cosponsored by IEEE Students and IEEE Young Professionals
1 December 2022
1:30pm ET
Register here to receive an email reminder 10 minutes before the event
Abstract
The growing climate impact of increased Greenhouse Gas Emissions and CO2 levels in Earth's atmosphere highlights the value and importance of technologies that reduce such impact. Electricity generation is a significant contributor to global CO2 emissions, and the datacenter industry is expected to reach anywhere from 3 to 13% of global electricity demand by 2030. We share some conclusions derived from operational data and discuss the key technical challenges that drive carbon-aware designs and their future enhancements.
Speaker Bio
Ana Radovanovic has been a research scientist at Google since early 2008, after she earned her PhD Degree in Electrical Engineering from Columbia University (2005) and worked for 3 years as a Research Staff Member in the Mathematical Sciences Department at IBM TJ Watson Research Center. Nowadays, Ana is widely recognized as a technical lead and research entrepreneur. She is a Senior Staff Research Scientist, serving as a Technical Lead for Energy Analytics and Carbon Aware Computing at Google.

It’s All Starting Soon Toronto Machine Learning Summit 2022

It's not too late…

 ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌

 
It's All Starting Soon !!

We are days away from the
6th Annual Toronto Machine Learning Summit 🚀 🚀
Nov. 29th & 30th in Downtown Toronto 🇨🇦 🇨🇦

Explore the full speaker list


🔥 Last chance to join 🔥

After nearly two years, the Toronto Machine Learning Summit is back
in person with 800+ fellow practitioners, researchers and business leaders
attending the largest gathering of the Machine Learning community.

Over 60 speakers will share exclusive case studies, mistakes and
lessons learnt and you will get an inside look at how companies are utilizing ML.


Topics include:

✅ Image Generation Using Stable Diffusion – Tips and Tricks

✅ How to Better Model User Intent in Recommender Systems Using a Latent Variable Model

✅ How Unsupervised NLP Algorithms Can Successfully Create Values For A Business

✅ Real-time Machine Learning: Architecture and Challenges

✅ The Framework For Great ML Products

Many more..

Not to mention, a bunch of fun social activities such as a startup showcase / career fair, Women in AI celebration (supporting The Shoe Box Project) and networking over food & drink. 🎉 🍷

It's not too late to join!


 

MLOps & TMLS is an initiative to accelerate the growth of ML/AI. We have gathered the top insights, expertise from our community of over 13,000 professionals.

An interactive conference is one in which you meet attendees before the event, message speakers directly, discuss specific areas of your work and establish a stronger network. Our goal is to help you with a clearer understanding of best practices, methodologies, and principles of effective ML.

INVITACIÓN: II JORNADA SOBRE GESTIÓN DE LA INNOVACIÓN Y LA TECNOLOGÍA EN LA REGIÓN

JORNADA SOBRE GESTIÓN DE LA INNOVACIÓN.jpeg
II JORNADA SOBRE GESTIÓN DE LA INNOVACIÓN Y  LA TECNOLOGÍA EN LA REGIÓN – ALTEC

Jueves, 1 de diciembre · 10:00am – 1:00pm
Información para unirse a Google Meet
Enlace a la videollamada: https://meet.google.com/upz-bvmz-ibs

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