Frontiers in Computer Vision – Call for contributions and Research Topics proposals

October 18th, 2022 Daniela Lopez de Luise
the Computer Vision section of Frontiers in Computer Science welcomes original contributions in all relevant areas of computer vision, from both academia and industry:


Among the distinguishing features of Frontiers' open-access journals are fast publication time and an innovative collaborative peer-review process (see here for details).
We also particularly welcome Research Topics proposals on cutting-edge themes:
Here's a list of the most recent ones:
If you have any questions about the journal, feel free to contact me or the editorial office.
Best regards
-mp
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6G Wireless Workshop 14-15th Oct 2022 : ONLINE

October 18th, 2022 Daniela Lopez de Luise
6G Wireless Workshop 

14-15  October 2022//Online

The Center for Telecommunication Research@ SLTC Research University will host a “Workshop on 6G Wireless” to be held on 14-15th October from 09:30 AM- 05:30 PM through ONLINE mode. 

 

Target Audience: Faculty members, PhD and MSc/Bsc research scholars and industry professionals.

 

Many free slots available for needy students/faculty.

 

Registration deadline:  13/10/2022 on regular basis 

 

*Note: registration deadline is 11/10/2022 for free seats (bursaries by application), please write to rajkumars@sltc.ac.lk to explore this option, mainly for students and faculty from developing countries. 

 

pdf icon Agenda-6G-workshop_v4.pdf
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Sistemas de comunicaciones seguras y sus desafíos para la conectividad encriptada (cambió el link)

October 18th, 2022 Daniela Lopez de Luise
SAVE THE DATE: 21 de Octubre 2022
2PM ARG
Link de conexión:

–

pdf icon GED-21-Octubre-2022.pdf
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Come learn from leaders at Red Hat, Apple, Twitch..

October 17th, 2022 Daniela Lopez de Luise
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Chip Huyen is the CEO of Claypot AI, a platform that leverages the freshest data to make more accurate predictions, get faster insights into the production environment, and speed up model iteration to adapt to data distribution shifts.


Talk: Real-time Machine Learning: Architecture and Challenges


Abstract: Fresh data beats stale data for machine learning applications. This talk discusses the value of fresh data as well as different types of architecture and challenges of online prediction.

What You'll Learn: why fresh data beats stale data for Machine Learning applications.

 
Dr. Anne Martel
Professor in Medical Biophysics at the University of Toronto, the Tory Family Chair in Oncology at Sunnybrook Research Institute, and a Faculty Affiliate at the Vector Institute

Her research program is focused on medical image and digital pathology analysis, particularly on the development of self-supervised and weakly supervised methods for segmentation, diagnosis, and prediction/prognosis.

Talk: Artificial Intelligence And Digital Pathology: Making The Most of Limited Annotated Data

Abstract: Obtaining large datasets with detailed annotations for medical imaging AI projects is a time-consuming and expensive process as it usually requires the input of expert radiologists and pathologists.

This talk will describe several semi-supervised and self-supervised approaches which can make more efficient use of small and/or weakly labelled datasets.

What You'll Learn: Self-supervision and smart sampling strategies are essential in digital pathology
 
Shiming Ren
Sr. Engineering Manager – Safety, MLOps and Infrastructure, Twitch



Talk: From silo to collaboration – building tooling to support distributed ML teams at Twitch


Abstract: In this talk, we will cover Twitch’s current ML team structure and its challenges of it and the solutions we have built to support ML development at Twitch.

We close with a discussion of Twitch’s distributed ML team style and how we collaborate using Conductor as an example.

What You'll Learn: Twitch's strategy of scaling our ML infra and MLOps tooling. The best strategy to utilize ML tooling for enhancing collaborations between ML teams.

This is a good lesson if companies are seeking to start MLOps from scratch.
 
Arthur Vitui
Senior Data Scientist Specialist Solution Architect

Arthur with the help of open-source software is helping organizations develop intelligent application ecosystems and bring them into production using MLOps best practices and is a research assistant in the Software Performance Analysis and Reliability (SPEAR) Lab.

Workshop: Open Source Intelligent Application Delivery on Kubernetes

Abstract: The recent rise in popularity of containerized workloads demanded better ways to orchestrate and manage these workloads hence the creation of the Kubernetes platform.

When it comes to running intelligent application workloads which contain built-in AI/ML software components, the requirement of a Kubernetes platform as a service extends beyond agility, portability, flexibility and scalability as it is required to also answer the data scientist's dilemma: getting started and getting into production.

What You'll Learn: Develop ML models using Jupyter Hub (lab/notebooks) as my preferred research environment, and quick access to resources that support the business logic of my applications, including databases, storage, messaging.
 
 


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Join Call for Reviewer Editorial Board Members – 2022

October 17th, 2022 Daniela Lopez de Luise

Join To Become Reviewer / Editorial Board Members 

With Certificate

Apply to join the Editorial Board  




ABCD Index invites Professors, Researchers, Scientists, Doctors, to register as a reviewer. Get a free profile page. Benefits of ABCD Reviewer community are:

We are seeking professionals to join our Editorial Board. You will be entitled to the following benefits while working with us as an editorial board member of the journals. 

Benefits of ABCD Index Reviewer – 

  • Global Reviewer profile (This reflects your research work).
  • People from similar research areas contact others.
  • Reviewer has its own following (Scholar/Reviewer/Journal).
  • Research articles are listed and get more digital visibility, this increases the citation as well.
  • The conference will be posted by reviewers that get direct reach to ABCD visitors.
  • Helps young scholars by monitoring three journal information as a reviewer like article review time, charges (if applied), and journal publication activity.
  •  Get certified ABCD Index reviewer by Digital certificate for every year of working.
  •  ABCD Index forward resume/profile to journals/editors posts.
  • The editors get one unique place to get reviewers of any research area without any charges.

Responsibility of Reviewer

  • Judge three selected journal activities and update the ABCD Index about it every month.
  • Inform about any fake/predatory journals/conferences, so the team will do more analysis and list out such publications as fake.
  • Judge research articles submitted by the scholars to review (at least 6 in a year), with proper comment. The reviewer gets an option for selection of paper by email.
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