Dear AI scientist/engineer/student/enthusiast,

Prof. Luc De Raedt (KU Leuven, Belgium), a prominent AI & Robotics researcher internationally, will deliver the e-lecture:

‘Probabilistic Logics to Neuro-Symbolic Artificial Intelligence’, on Tuesday 7th June 2022 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/ai-lectures/

You can join for free using the zoom link: https://authgr.zoom.us/j/94177102301 & Passcode: 148148

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST).  Attendance is free.

Other upcoming lecture:

Prof. Jan Peters (Technische Universitaet Darmstadt, Germany), “Robot Learning”, 21nd June 2022 17:00 – 18:00 CET.

More lecture infos in: https://www.i-aida.org/events/robot-learning/

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).

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

Best regards

Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe, J. Stefanowski

KU Leuven University organizes a an online AIDA short course on “AI and liability” offered through the International Artificial Intelligence Doctoral Academy (AIDA). 

AI is become increasingly more prominent in our daily professional and social lives. Although it brings many benefits, the increased of AI will present many challenges as well. In addition to several ethical issues, regulatory challenges will arise as well. A recurring topic in several supranational policy documents is the question who can and should be held liable when an AI-system causes damage. This is not surprising considering that AI-systems are increasingly involved in accidents (e.g. autonomous vehicles). In this seminar, dr. Jan De Bruyne will first give an overview of some recent initiatives regarding liability. Once this general overview has been given, he will further discuss some specific legal challenges related to extra-contractual and product liability as well as provide some normative proposals that can be relied upon by policy-makers.

This short course will cover the following topics:

– AI and regulation (general overview)

– liability and AI

LECTURER: Jan De Bruyne, jan.debruyne@kuleuven.be

HOST INSTITUTION/ORGANIZER: KU Leuven Centre for IT & IP Law

REGISTRATION: free

WHEN: 2 June 2022 from 12h to 13h CET

WHERE: Online (https://bit.ly/3G70myE)

HOW TO REGISTER and ENROLL: 

Both AIDA and non-AIDA students are encouraged to participate in this short course.

If you are an AIDA Student* already, please:

Step (a): Register in the course, please send a registration email to Jan De Bruyne (mailto:jan.debruyne@kuleuven.be) with title “AIDA Course Registration”.

AND

Step (b) enroll in the same course in the AIDA system using the enrollment button in the AIDA course, so that this course enter your AIDA Course Attendance Certificate.

If you are not an AIDA Student do only step (a).

*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: https://www.i-aida.org/about/members/)

Dr. Jan De Bruyne

jan.debruyne@kuleuven.be

The role of our growing AICS Research team (https://aics.asus.com/ai-research-en/) is to work on ambitious long-term research goals, while laying out intermediate milestones to solve large-scale, real-world problems. Specific research topics of interest include (but are not limited to) domain generalization, long-tailed learning, and self-supervised approaches. We are recruiting at junior and senior levels, preferably at our Singapore office, but also considering remote work.

Job Responsibilities:

•                      Drive ML/CV research from concepts to feasible output to determine the viability of ideas and technologies

•                      Research and implement innovative ML algorithms and tools

•                      Publish and present your work in the top AI/ML venues

•                      Collaborate with university partners and clinical experts on research projects, supervise students and interns

•                      Work with product and engineering teams to transform research prototypes into production

Requirements:

•                      Ph.D. degree in computer science or related discipline

•                      Strong expertise in state-of-the-art machine learning methods, especially in the domains of computer vision, natural language processing, and/or time series analysis

•                      Experience working in an academic or industry research lab

•                      Track record of publications at top peer-reviewed conferences and journals

•                      Hands-on experience with deep learning frameworks such as PyTorch, Keras, and Tensorflow

•                      Familiarity with MLOps and deploying models in production will be beneficial

You may apply via https://aics.asus.com/career-en/ai-researcher/ or email me your CV directly. We look forward to hearing from you!

Best regards,

Stefan Winkler