🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🎙️ Introducing Smartnotation - the smart meeting minutes solution! Capture notes, actions, and decisions effortlessly with your voice. Say goodbye to tedious note-taking and hello to efficiency! Check it out 👉smartnotation.com/landing/index

Every minute counts in a meeting! With Smartnotation, prepare your minutes using voice or keyboard. Once captured, your team gets notified for review and follow-ups. Streamline your meetings like never before! 🚀smartnotation.com/landing/index

Today I had the honor to chair the keynote of prof. Hani Hagras on the topic of XAI for real world problems. Wonderful last day of the #IJCNN2023 #ECTA conference.

This is GECCO! youtube.com/watch?v=wtTpY9…

How does Smartnotation work? 🤔 Prepare your meeting minutes with voice or keyboard. Capture the highlights and keep your team informed. It's that simple! Explore now: smartnotation.com/landing/#featu… #EfficientMeetings #Smartnotation

From small businesses to large corporations, everyone can benefit from Smartnotation! 🚀 Structure your meetings, optimize processes, and save precious time. Dive in: smartnotation.com #BusinessProductivity #SmartSolutions #AI

The deadline to submit an abstract to our mini-symposium "XAI for Computational Mechanics" at ECCOMAS2024 is in 12 days... Hurry up!😉 ▶️Submission portal here: eccomas2024.org/submissions ▶️Further info about our MS here: eccomas2024.org/event/area/4f0… Do not hesitate to reach out!

🚀 Join Leiden Computer Science as a #PhD Candidate in Multi-Objective Machine Learning! Dive into XAI research for fair inspections, collaborating with top institutes and organizations. 🤖💡 🎓 Seeking candidates with a passion for #XAI. Apply by Jan 10, 2024! 🔗universiteitleiden.nl/vacatures/2023…

Join our team at Leiden University! Apply for our PhD position in Multi-Objective Machine Learning for Fair Inspections. #AI #ML #PhD #LeidenUni #CareerInResearch universiteitleiden.nl/vacatures/2023…

Second day of the Lorentz Center Workshop ICT with Industry. Working on an exciting explainable AI topic to measure the semantic continuity of explainers and ML models!

Opening soon: Submission for Workshop Papers. Workshop papers must be submitted using the GECCO submission site. To see a sample of the "Workshop Paper" submission form go to GECCO's submission site and chose "Sample Submission Forms": gecco-2024.sigevo.org/Call-for-Works…

We (Leiden Computer Science) have a vacancy for 2 Assistant/Associate Professors in Artificial Intelligence. The positions have a nice balance between teaching and research, giving the candidates time to further build their research lines and their careers. universiteitleiden.nl/en/vacancies/2…

It's difficult to optimize directly in symbolic space? Let's do it in Hilbert space! In our new work, we reformulate the symbolic regression problem which allows us to optimize in another space, thus avoiding intricate symbolic expressions. arxiv.org/abs/2402.06299

Tickets for GECCO24 are going on sale soon! Reminder, Una-May O’Reilly from MIT is one our keynote speakers!!! More sepakers here gecco-2024.sigevo.org/Keynotes #GECCOconf #GECCO24

You can now listen to the second episode of our podcast series 'Computers don't byte'. Assistant professor Niki van Stein tells you al about explainable AI and why that is crucial for instance on a big ship. shorturl.at/jlvMV

In the 3rd episode of our podcast Computers don’t byte, Max van Duijn talks about his research on children’s stories and how this serves as a test for AI. Does AI have a mind? Can entities like ChatGPT truly empathize? You can listen to the episode here: t.ly/VlluF

The 4th episode of our podcast series ‘Computers don’t byte’ is out now. In this episode prof. Joost Batenburg tells all about his work field tomography. Tomography is a technique to peer into objects without taking them apart. Listen here: t.ly/GuoXv

Paper 2: "A Deep Dive into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories" w/ Niki van Stein and Anna V. Kononova. PPSN2024 ENU Computing, Engineering & Built Environment

Feature-based meta-learning for black-box optimization problems with continuous variables is hip🔥 In this survey we provide an overview: arxiv.org/abs/2406.06629 Lead by Gjorgjina Cenikj w/ Ana Nikolikj gasper_petelin Niki van Stein and Tome Eftimov some reference missing? let us know!

👋This is the new account for FOGA 2025, the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms Save the date and follow us for updates and retweet to help us be seen😀 📅Aug 27 – 29, 2025 🌍Leiden, The Netherlands ℹ️naco.liacs.nl/foga2025/