The first cross-cutting Theme Development Workshop “AI: Mitigating Bias and Disinformation” will take place via Zoom on the 18th of May 2022. The workshop is co-organised by the ICT-48 projects AI4Media, HumaneAI Net, TAILOR and CLAIRE AISBL under the lead of VISION.

During the workshop, the participants will have the opportunity to discuss with other experts the importance and the use of AI to migitate bias and disinformation. Further information about the topics and the programme can be found by following this link. Some more general information about Theme Development Workshops and its target groups is available via the VISION website https://www.vision4ai.eu/tdw/ and on the dedicated TAILOR webpage. 

If you are interested in participating to the TDW, please indicate your will to join the Theme Development Workshop via the Online Application Form.

If you have any questions, please do not hesitate to contact the TDW committee via vision_ict48-dfki@dfki.de.

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate! 

This fourth meeting will offer two presentations. WP7 leader Holger Hoos (ULEI) will talk about “Automated AI” (see WP description). Barry O’Sullivan (UCC) will present work from WP11 “Coordination with AI on Demand platform” (link to more information in this post). Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project. 

No registration is needed, and the meeting link will be sent by email. (Project partners can find the link here. )

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.

The joint Theme Development Workshop “AI for Future Manufacturing” will take place via Zoom on the 10th of May 2022, from 9 to 17:30 (CEST). The workshop is co-organised by the ICT-48 projects TAILOR and VISION, as well as CLAIRE. 

During these two days, the participants will have the opportunity to discuss with other experts the importance and the use of AI in the Manufacturing Sector.

Further information about the topics and the programme can be found by following this link.

Some more general information about Theme Development Workshops and its target groups is available via the VISION website and on the dedicated page on TAILOR website. 

Registration to TDW is mandatory to participate. You can register by filling the TDW Application Form.

The fourth event of WP7 seminar series will be on 10th May 2022, from 15.30 to 17.00 (CET). The seminar will consist of two parts: a scientific and a social part.

Scientific part:

• 15:30-16:00 —Talk by Pieter Gijsbers— AMLB: An AutoML Benchmark

Abstract: Comparing different AutoML frameworks is notoriously challenging and often done incorrectly. In this talk, we will present an open and extensible benchmark that follows best practices and avoids common mistakes when comparing AutoML frameworks on tabular dataset problems. The benchmark comes with an open-source tool that integrates with many AutoML frameworks and automates the empirical evaluation process end-to-end: from framework installation and resource allocation to in-depth evaluation. We will discuss its design and limitations and show brief examples of how to use the benchmarking tool. Additionally, we present the results of a thorough comparison of 9 well-known AutoML frameworks across classification and regression tasks. The differences between the AutoML frameworks are explored with a multi-faceted analysis, evaluating model accuracy, its trade-offs with inference time, and framework failures.

• 16:00-16:30 — Round table updates for all WP7 tasks

Social Part

• 16:30-17:00 —Gathertown

There will be the possibility for: giving suggestions for improving the seminar format; informal chats about possible collaborations; brainstorm/discuss ideas and mechanism for making our WP7 more impactful, more efficient and/or more enjoyable; chat about anything else you feel worthwhile!

If you want to participate to the seminar, just contact the TAILOR WP7 Seminar Organising Committee on Mattermost or by sending an email to Annelot Bosman (a.w.bosman@liacs.leidenuniv.nl).

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate! 

This third meeting will offer two presentations. WP6 leader Ana Paiva (IST) will talk about “Learning and Reasoning in Social Contexts” (see WP description). Joaquin Vanshoren (TU/e) will present work from WP10 “Connectivity Fund” (link to more information on WP page). Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project. 

No registration is needed, and the meeting link will be sent by email and can also be found on the TAILOR google drive: https://docs.google.com/document/d/1YTGT2ov46WSrFYLoZEfIxi6j1QqeSHDysfdSeC82Nbg/edit?usp=sharing

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate! 

This second meeting will offer two presentations. WP5 leader Giuseppe De Giacomo (UNIROMA1) will talk about “Deciding and Learning How to Act” (see WP webpage). Peter Flach (UNIVBRIS) will present work from WP9 “Network collaboration” (link to more information on WP page). Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project. 

No registration is needed, and the meeting link will be sent by email and can also be found on the TAILOR google drive (for TAILOR partners only): https://docs.google.com/document/d/1YTGT2ov46WSrFYLoZEfIxi6j1QqeSHDysfdSeC82Nbg/edit?usp=sharing

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.

15:30-16:00 — Talk by Andrea Borghesi — HADA: an Automated Tool for Hardware Dimensioning of AI Applications 

Abstract:

The uptake of Artificial Intelligence (AI) in industry is increasing. For many AI techniques, like Deep Learning, optimization, planning, etc., computational and storage requirements are significant. Determining what is the right hardware (HW on premise or on the cloud) architecture and its dimensioning for AI algorithms is crucial and very challenging, as it is hard to characterize an algorithm behaviour on diverse architectures. This is especially true if the AI application must respect quality-of-service constraints or budgets. Having an automated decision support tool to match algorithms, user constraints and HW resources would be a great advantage for companies and practitioners working with AI applications.

We tackle this challenge with an approach that relies on the Empirical Model Learning paradigm, based on the integration of Machine Learning (ML) models into an optimization problem. The key idea is to integrate domain knowledge held by experts with data-driven models that learn the relationships between HW requirements and AI algorithm performances. In particular, the approach starts with benchmarking multiple AI algorithms on different HW resources, generating data used to train ML models; then, optimization is used to find the best HW configuration that respects user-defined constraints (e.g., budget, time, solution quality). We demonstrate the approach on complex problems, such as online algorithms for energy systems and transprecision computing.

16:00-16:30 — Round table updates by all WP7 participants 

• An overview highlighting ongoing and planned work focusing on the following:
• Collaboration between different tasks;
• Collaboration with other work packages;
• New collaborations (with people with whom that group has never worked before).

This event is only for TAILOR Network members.

Building systems that can integrate learning, reasoning and optimization has long been a dream for artificial intelligence. One of the major challenges, within this context, is certainly to evaluate novel ideas and frameworks on appropriate benchmarks. Too often, in fact, the tasks and the datasets that are considered and proposed for experimental evaluation are tailored to some algorithms or methodologies,
and limited to ad-hoc scenarios and application domains. More in general, they lack an open and wider perspective to test the considered approaches across a variety of different tasks and under different conditions, making experimental comparisons hard to obtain.

Can we define a set of requirements for a challenge/benchmark that goes beyond those currently available?
Can we do it with the goal of having a benchmark that meets these requirements and can still be implemented in a
reasonable time? Possibly building on top of existing ones?

Program

13:00-13:15 Doors open

Introduction

13:15-13:30 Introduction & Expectations – Luc de Raedt
13:30-14:00 Invited Talk: Lessons Learned at NeurIPS 2021 Datasets and Benchmarks – Joaquin Vanschoren

PART I

14:00-14:15 Presentation Datasets/Systems Tables – Marco Lippi
14:15-15:30 Discussion on Tables – Working groups
15:30-15:45 Break

PART II

15:45-16:45 Panel on Limitations of Existing Benchmarks and New Challenges – Andrea Passerini
16:45-18:00 Discussion on Panel – Working groups

Conclusions

18:00-18:15 What’s Next? – Luc de Raedt

These meetings are organized to share and discuss the work that have been done by the WP teams. All partners and network members of TAILOR are welcome to participate!

This first meeting will offer two presentations. WP4 leader Luc De Raedt will talk about Integrating AI Paradigms and representation (see WP description). Philipp Slusallek, from DFKI, will present work from WP8 “Industry, Innovation and Transfer Program (link to more information on WP page). Q&A time should be available after each presentation.

The meeting will end with 20 minutes for general topics, on any aspect of the TAILOR project.

No registration is needed, and the meeting link will be sent by email and can also be found on the TAILOR google drive: https://docs.google.com/document/d/1YTGT2ov46WSrFYLoZEfIxi6j1QqeSHDysfdSeC82Nbg/edit?usp=sharing

Not sure if you are a member of the TAILOR Network? Not a member yet? More information can be found on the network page.

Prof. Fredrik Heintz, PI of TAILOR project and prominent international AI researcher, will deliver the e-lecture ‘Towards Trustworthy AI – Integrating Reasoning and Learning’, on Tuesday 22nd February 2022 17:00-18:00 (CET).

See the abstract of the lesson and more details in: http://www.i-aida.org/event_cat/ai-lectures/

You can join for free using the Zoom link: https://authgr.zoom.us/j/91262043831 & Passcode: 148148

The lesson is given by the International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR and VISION, that aims at offering top quality scientific lectures on several current hot AI topics.

Lectures are typically held once per week, Tuesdays 17:00-18:00 CET and the attendance is free.

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

The first edition of the TAILOR Strategic Research and Innovation Roadmap for Trustworthy AI is about to be completed. It will define major research challenges and is intended to influence European and global AI research well beyond the TAILOR project.

This workshop is open to people from all TAILOR Partners and network members. It is your opportunity to contribute, comment or criticize the first draft!

More information will follow.