Mark your calendars for June 4th! 🗓️ Dive into the future of AI education at the Spring Symposium hosted by TU Delft | AI Initiative at Mondai | House of AI. Expect a day of insightful talks, interactive workshops, and networking over drinks. More: edu.nl/rxpah

“As AI becomes more important in architecture, it is a critical moment to reflect on technology as an agent for change' - Georg Vrachliotis

Join us June 4th at the Spring Symposium – AI Education to learn more about AI in Architecture: edu.nl/8uj88

Want to know more about the power of AI in #logistics ? Join our lunch-event on May 16, at Mondai House of AI in #Delft .

Dive into real-world applications, challenges, and academia-industry collaborations shaping the future of #freight with AI.

More info edu.nl/4yutr

📢It is my pleasure to announce that on Wednesday at around 15:45 CEST, I will present our approach for automatic feature discovery, called AutoFeat, in the session 'Database Technology for AI II' in Theatre 12 IEEE ICDE Conference
🌸Looking forward to seeing you there! 🌸

Very excited about the first paper of my PhD journey!

arxiv.org/abs/2405.02050

Coming June 4th TU Delft AI and Mondai House of AI will host the spring symposium on AI Education!

We will shine a light on fostering AI education, innovative best-practices for teaching #AI , interdisciplinary #AI education and #AI skills for future engineers.

What makes Human-AI interactions meaningful? What features must be considered to ensure meaningfulness? How do we design for meaning in an ethically-responsible manner?

Wed. May 8th the first seminar in a series about Human-AI interaction will take place: edu.nl/n3wje

Explore the transformative power of AI in logistics at our upcoming free event with lunch on May 16, at Mondai House of AI.

Dive into the real-world applications, challenges, and academia-industry collaborations shaping the future.

More details: edu.nl/4yutr

Our CTO #DataScience Speaker Series welcomes EEMCS TU Delft's Avishek Anand to Bloomberg's #London office to share his work on explainability/interpretability of #MachineLearning models in #InformationRetrieval with our #AI & #NLProc engineers & researchers
bloom.bg/3UpYvO7
#ML

Meet the speakers!
Asterios Katsifodimos - Asst. Prof. TU Delft
His research, spanning parallel data processing, cloud computing & data integration, has received the ACM SIGMOD Research Highlights & Systems Awards, as well as the EDBT Best Paper and Best Demo Awards.

What an amazing week! Attended my first #ICTOPEN and received the audience best poster award with Ujwal Gadiraju ! 🤩🏆 Then ended the week with presenting our work at the CHI NL Community Event ✨

What fun wrapping a great week ECIR2024 by presenting our work!! 🏴󠁧󠁢󠁳󠁣󠁴󠁿

NL4XAI

Concluding remarks from @𝘾𝙝𝙖𝙏𝙤@tech.lgbt in Mastodon's Keynote Speech on Human Factors and Algorithmic Fairness. Very important and interesting topics were discussed and some of great questions were asked!

Iadh Ounis The slides are here: docs.google.com/presentation/d… - thanks to Marzieh Karimi-Haghighi and David Solans David Solans

Running our AAAI symposium 'Bidirectionality in Human-AI Collaborative Systems' at Stanford. We have 19 invited talks over a 2.5-day program: sites.google.com/view/bidirecti…. Lots on human-centeredness in NLP -- great to see #NLP and #HCI interweaving more and more with each other!

Thank you to the great Full/Short Chairs for their hard work in curating the main program for #IDC2024 ! For a full list of accepted contributions, visit the IDC website

LDE Centre for Education and Learning digital learning research event with top speaker from EPFL and UCL come and join it's free and open science for the future of digital education and research ! educationandlearning.nl/agenda/2024-04…

It is a wrap for #IR4U2 at #ECIR2024 ...from a keynote that urged reflection, presentations that zoom on specific problem to a round table discussing the *vision* for this are of study, we continue to build community and bring awareness! ECIR2024

The #IR4U2 workshop has started at #ECIR2024 with a keynote from Michael Ekstrand! We look forward to a very interactive morning focus on understidied populations ECIR2024

We have another paper on federated learning from noisy data accepted at #ICLR2024 'FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning', a more algorithmic work w/ Mingkun Yang, w/ Ran Zhu Ran Zhu (朱然), and Qing Wang Qing Wang.