AI Tech Week: Talent

AI Tech Week: Talent

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It’s time for the first ever 𝗔𝗜 𝗧𝗲𝗰𝗵 𝗪𝗲𝗲𝗸! Perspectives from research, entrepreneurship, talent and applications will all be covered during four different afternoon events. Do we see you there?

Are you ready to get to know the diverse talent in the Amsterdam AI ecosystem? Knowledge institutes including University of Amsterdam, Vrije Universiteit Amsterdam, Centrum van Wiskunde en Informatica and University of Applied Sciences have a large pool of excellent PhD students and young researchers. Looking to explore opportunities? We cover it all in this afternoon event about AI talent.

16:30 Introduction & Welcome
16:35 Talk #1
16:50 Q&A
16:55 Talk #2: (Academic) Road to Amsterdam
17:10 Q&A
17:15 Talk #3 On the Need for Diverse AI Talent
17:30 Q&A
17:35 Talk #4 AI Research in Industry: Opportunities & challenges
17:50 Q&A
17:55 Closing
18:00 End!

𝗖𝗵𝗮𝗶𝗿: 𝗦𝗮𝗿𝗮 𝗠𝗮𝗴𝗹𝗶𝗮𝗰𝗮𝗻𝗲
Assistant Professor of Intelligent Data Engineering

𝗧𝗮𝗹𝗸 #𝟭 𝗯𝘆 𝗠𝗼𝘀𝘁𝗮𝗳𝗮 𝗗𝗲𝗵𝗴𝗵𝗮𝗻𝗶
More information to follow.

𝗧𝗮𝗹𝗸 #𝟮 𝗯𝘆 𝗜𝗹𝗮𝗿𝗶𝗮 𝗧𝗶𝗱𝗱𝗶
I am an Assistant Professor of Hybrid Intelligence in the Knowledge Representation and Reasoning group of the Vrije Universiteit Amsterdam. My research focuses on creating AI systems that generate complex narratives using a combination of machine learning and knowledge representation techniques. As part of my research activities, I am editor-in-chief of the CEUR-WS Editorial Board and part of the Knowledge Capture conference (K-CAP) Steering Committee, while at the VU I coordinate the Network Institute Academy Assistant projects and am part of the newly formed AI&Health research centre.

(Academic) Road to Amsterdam:
In this talk, I will give an overview of my research on hybrid intelligent systems for generating explanations using symbolic background knowledge. I will do so by showing the academic path I followed over the past years, showing how different methods and different disciplines have helped shaping my research line

𝗧𝗮𝗹𝗸 #𝟯 𝗯𝘆 𝗦𝗲𝗻𝗻𝗮𝘆 𝗚𝗵𝗲𝗯𝗿𝗲𝗮𝗯
Sennay Ghebreab is an Associate Professor of Socially-Intelligent AI at the University of Amsterdam, program director Master Information Studies, and Scientific Director of Civic-AI Lab, a research lab for civic-centered and community-minded AI technology.

On the need for diverse AI talent:
The lack of diversity of people in AI and the problem of biased algorithms have largely been dealt with separately. These, however, are two sides of the same coin: lack of diversity in the workplace is interwoven with biased algorithms. Government agencies, universities and technology companies recognize the problem of biased algorithms and the importance of diversity in AI. And yet, they are unable to sufficiently diversify their AI talent pool. In this short talk I highlight why?

𝗧𝗮𝗹𝗸 #𝟰 𝗯𝘆 𝗕𝗮𝗯𝗮𝗸 𝗘𝗵𝘁𝗲𝘀𝗵𝗮𝗺𝗶 𝗕𝗲𝗷𝗻𝗼𝗿𝗱𝗶
Babak Ehteshami Bejnordi is a research scientist and manager at Qualcomm AI Research. Babak’s primary research interests are conditional computation and efficient image and video analysis. Babak did his PhD on developing machine learning algorithms for breast cancer diagnosis at Radboud University in the Netherlands. Before joining Qualcomm, Babak was a visiting researcher at Harvard University.

AI Research in Industry: Opportunities & challenges:
In this talk, I will present an overview of the various research projects we are working on at Qualcomm AI Research in Amsterdam as well as the various kinds of research collaborations we have with academia. I will also discuss the challenges and opportunities for starting a career in ML and my perspective of transitioning from academia to industry.

𝗧𝗵𝗶𝘀 𝗲𝘃𝗲𝗻𝘁 𝗶𝘀 𝗵𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗛𝗼𝗽𝗶𝗻, 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗵𝗮𝘃𝗲 𝘁𝗼 𝗴𝗲𝘁 𝗮 𝘁𝗶𝗰𝗸𝗲𝘁 𝘁𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗲𝘃𝗲𝗻𝘁:

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Date And Time

2021-10-27 @ 16:30 to


Online Event

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