Re: [ML-news] Digest for ml-news@googlegroups.com - 6 updates in 6 topics

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Andreas HOLZINGER

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Oct 4, 2022, 12:42:10 PM10/4/22
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Postdoctoral (Assistant Professor Level) Position 
AI/Machine Learning for Smart Forest Operations
in beautiful Vienna Austria:
https://euraxess.ec.europa.eu/jobs/838860


On Tue, 4 Oct 2022 at 13:12, <ml-...@googlegroups.com> wrote:
Anqi Qiu <nusan...@gmail.com>: Oct 04 03:15PM +0800

*Postdoctoral Fellow in Machine Learning*
 
 
 
Laboratory for Medical Image Data Sciences at National University of
Singapore is seeking two motivated postdoctoral researchers with expertise
in machine learning and geometric deep learning models.
 
 
 
The laboratory has great computing capacity, including multiple M40 and
V100 GPU systems for deep learning, and computing clusters for large data
set processing. In addition, our laboratory has 4000TB medical image data
that are sufficient for deep learning applications.
 
 
 
The postdoctoral fellow will work on developing geometric deep learning.
Issues to be explored include imbalanced data, scalability, transfer,
self-supervision, etc., in prediction, inference, and planning, with
applications in medical images.
 
 
 
*Requirements:*
 
· Ph. D. with a good track record of publications at major machine
learning, AI, or closely related conferences and journals.
 
· Good communication and writing skills in English.
 
 
 
If you are interested in the jobs listed above, please send your CV and
previous publications to
 
Anqi QIU
 
Deputy Head for Research & Enterprise
 
Department of Biomedical Engineering
 
National University of Singapore
 
Email: bi...@nus.edu.sg
 
Lab Website: https://bieqa.github.io
"jim...@gmail.com" <jim...@gmail.com>: Oct 03 10:30PM -0700

Dear Colleagues,

Artificial intelligence (AI) has entered an increasing number of different
domains. A growing number of people – in the general public as well as in
research – have started to consider a number of potential ethical
challenges and legal issues related to the development and use of AI
technologies.

Among the most important challenges are those related to privacy, fairness,
transparency, safety and security. Countermeasures can be taken first at
design time, second, when a user should decide where and when to apply a
system and third, when a system is in use in its environment. In the latter
case, there will be a need for the system by itself to perform some ethical
reasoning if operating in an autonomous mode.

In this tutorial, we would target to present a structured overview with a
focus on the most important ethical issues and their countermeasures. It
will also introduce some examples from our own and others ́ work and how
the challenges can be addressed both from a technical and human side. AI
ethical issues should not be seen only as challenges but also as new
research opportunities contributing to more sustainable, socially
beneficial services and systems.

The tutorial will be given on 4th Dec 2022 and will last for two hours.
SSCI 2022 Tutorial overview: https://ieeessci2022.org/tutorial-schedule.html

Tutorial organisers and speakers:
- Professor Xin Yao, Southern University of Science and Technology
(SUSTech), Shenzhen, China and part-time at University of Birmingham, UK

- Professor Jim Torresen, University of Oslo, Norway


Best regards,
Jim Torresen
on behalf of the tutorial organisers
 
 
 
Jim Torresen
Professor
Department of Informatics
University of Oslo
PO Box 1080 Blindern
N-0316 Oslo, Norway
====================
E-mail: jim...@ifi.uio.no
Phone: +47 2285 2454
http://www.jimtoer.no
"arpi.bisw...@gmail.com" <arpi.bisw...@gmail.com>: Oct 03 09:04PM -0700

Inviting everyone to join us on a (virtual) panel discussion on AI for
Social Impact (Part 1), focused on South Asia, sponsored by *Harvard CRCS*
and *Mittal Institute*. We are very excited to be bringing together an
amazing set of speakers, who would speak about their experiences,
learnings, and challenges while working on social impact projects in India.
 
Registration link:
https://mittalsouthasiainstitute.harvard.edu/event/ai-and-social-impact-in-south-asia/
 
Date: October 4, 2022 (Tuesday)
Time: 10 AM ET / 7:30 PM IST
 
Description: The rise of artificial intelligence technology and the
modernization of the South Asia region have occurred in parallel over the
past few decades – now, they are growing increasingly interconnected, with
wide-ranging impacts and consequences. Join us for this miniseries as we
explore how AI technology becomes an integral part of South Asian society
and consider the potential opportunities and concerns of its proliferation.
 
Thank you,
Arpita
 
Arpita Biswas
CRCS Postdoctoral Fellow,
Harvard University
https://sites.google.com/view/arpitabiswas
"tit...@gmail.com" <tit...@gmail.com>: Oct 03 10:37AM -0700

Postdoctoral positions in statistical and machine learning are available at
the University of Wisconsin-Madison. The candidates will work with
professor Moo K. Chung (www.stat.wisc.edu/~mchung) on developing new
innovative learning methods in one of areas: topological data analysis,
time series data and network data.
 
Candidates should have received or expected to receive PhD degree or
equivalent in mathematics, physics, CS, EE, statistics, biomedical
engineering, psychology, neuroscience or related areas. Previous imaging
research experience is a plus but not necessary but programming skill
beyond scripting is a must.
 
Interested candidates should email CV (with the name of references) and
representative papers to Moo K. Chung (mkc...@wisc.edu
<mkc...@wisc.edu%22%20%5Ct%20%22_blank>). There is no deadline for
application and the position but the position should be filled this year.
The following are two recent publications from our group (topological
learning on networks: arXiv: 2012.00675 <https://arxiv.org/pdf/2012.00675>,
Hodge Laplacian for higher order network connectivity: arXiv:2110.14599
<https://arxiv.org/pdf/2110.14599.pdf>).
"felipe...@gmail.com" <felipe...@gmail.com>: Oct 03 08:34AM -0700

Dear all,
We are pleased to inform you that a new version of WEFE has been released:
The Word Embeddings Fairness Evaluation Framework.
WEFE is an open source library for measuring and mitigating bias in word
embedding models.
The main goal of the library is to provide a ready-to-use tool that allows
the user to run bias measures and mitigation methods in a straightforward
manner through well-designed and documented interfaces.
 
The new version implements of various debiasing algorithms (e.g.,
HardDebias, Repulsion Attraction Normalization, Half-Sibling Regression) in
addition to various the already implemented fairness metrics (e.g., WEAT,
RND, RNSB).
 
We invite you to try it out at:
https://wefe.readthedocs.io/en/latest/index.html
and "Star" the project on Github: https://github.com/dccuchile/wefe
 
 
We appreciate your feedback and suggestions.
 
Bests,
Felipe Bravo-Marquez
https://felipebravom.com/
"ali hürriyetoglu" <ali.hurr...@gmail.com>: Oct 03 04:01PM +0300

Dear all,
 
We are offering a task on Multimodal Understanding of Smells in Texts and
Images (MUSTI) within the MediaEval benchmark on detection of smell
oriented relations in historical images and historical texts in English,
French, German, and Italian. Our focus is on determining whether an image
and text refer to the same smell source(s) and what are the smell sources
make this pair related. The data sets contain several thousand pairs of
images and texts that have been annotated by native speakers who are
experts in olfactory information processing.
 
Registration to participate is now open and submissions will be due in mid
November (the deadline for submission to be adjusted). You will have the
chance to present your work at the 13th Annual MediaEval Workshop 12-13
January 2023, which is collocated with MMM 2023 in Bergen, Norway, with
remote participation also possible.
 
More information on MUSTI task can be found here:
 
https://multimediaeval.github.io/editions/2022/tasks/musti/
 
More information about MediaEval and the link to the registration page is
here.
 
https://multimediaeval.github.io/editions/2022/
 
We would like to invite you to participate in this task. Please let us know
if you have any questions. We are looking forward to hearing from you!
 
Best regards,
 
Ali Hürriyetoğlu (on behalf of organizing committee)
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