The five challenging use-cases of the Franco-Bavarian AI Cup

The Franco-Bavarian AI Cup is now open for participation, for students and junior researchers from Europe interested in AI and Data Science.

Trophy: up to €95.000 for financing the launch of a start-up.

Procedure: Successful participation in one of the announced challenging use-cases, linked with sustainable development, which are out in collaboration with our partners from France and Germany:

  1. challenge from E.ON related to the energy distribution;
  2. challenge from Trading Hub Europe related to the pricing of energy;
  3. challenge from Deutsche Bahn Regio on the optimization of the planning of regional bus lines
  4. challenge from Centre Borelli related to the frailty of the elderly
  5. challenge from CEA on the detection of seismic activity.

You are invited to pass this information to your network.

Final registration date… this Friday!

More info: https://www.uni-passau.de/ai-cup

A big conference on Learning on Graphs? It was about time!

It is with great excitement that I share this piece of news. Machine Learning on Graphs is soon to have what deserves: the first major event of its own. And shall the name of it be:

Learning on Graphs Conference (LoG)

Below the announcement posted by Michael Bronstein (member of the Advisory Board):

Graph Machine Learning has become large enough of a field to deserve its own standalone event: the Learning on Graphs Conference (LoG). The inaugural event will take place in December 2022 and will be fully virtual and free to attend. We believe this event will stimulate research in the field by bringing together experts and practitioners from various subfields and adjacent disciplines.

Read the rest of his very interesting description of the scientific landscape around ML on graphs and how the advancements are scattered around the different big ML and Data Mining conferences.

Evidence of increasing sentimentalism and individualism in written language

The recent paper “The rise and fall of rationality in language” (PNAS, Dec 2021), by Marten Scheffera, Ingrid van de Leemputa, Els Weinansa, and Johan Bollenc, brings some quantification over the way we use language to communicate, express ideas, argue, etc, in the course of time.

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Research opportunities for MVA-ers and other M2 students 2022

Here are some of the subjects that the ML group (MLMDA) of Center Borelli offers for (but not limited to) MVA Masters program internships:

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A review of the first period of the COVID19-related research

It’s been about two years since the appearance of the COVID-19 virus, and the pandemic is still a horrific roller coaster for most countries, and their citizens individually. From the beginning, and especially at the beginning, it was natural for doctors and researchers of various fields to put as top priority helping out with the situation. The research efforts continue, concentrating unprecedented energy and resources worldwide. However, moving forward on such a rapidly evolving subject brings challenges not only on the side of investigating new ideas, but also from the side of handling the sheer amounts of produced scientific literature. In essence, this means coping with reading, processing, exploiting, applying many, many,… many papers!

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Pretty misbeliefs, pretty flames

* The title paraphrases a Greek proverb that literally says: “pretty villages burn pretty”, while implying that the ugly ones remain ugly even in flames. The proverb is most common in Balkan countries.

The effects of the COVID19 pandemic on scientists

This short article of Kyle R. Myers et al. about the effects of the COVID19 pandemic on scientists is worth sharing. The survey study, although indicative and probably not statistically unbiased, is still analyzing a good amount of people in academia and research.

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