🌟 Exciting News! 🌟 Honored to be recognized in Elsevier's 2022 World's Top 2% of Highly Cited Scientists for my contributions to #AI. Huge shoutout to my amazing teams at JSI, FCSE, Sorbonne, and Leiden University - your collaboration made this possible! 🚀

🌱 Exciting News! 🍏 Our team, ComputerSystems@JSI, zerodays, and ФИНКИ, present FoodMarketMap: AI for informed, healthier, sustainable, cost-effective food choices. Selected in FOODITY project's Open Call 1. Revolutionize food shopping for a better future! 🌟🌽

Interested in continual learning in optimisation systems, e.g. improving with experience, learning cross-domain and adapting to new domains? Submit short or full papers to our GECCO 24 wkshop tinyurl.com/3hn8n3rr deadline 8th April

Dive into our latest journal article comparing ELA features with transformer-learned features for algorithm selection in numerical optimization across four benchmark suites: doi.org/10.1016/j.swev… w/ Gjorgjina Cenikj, Gašper Petelin

Yesterday at the “Forum podatkovne analitike 2024", Tome Eftimov delved into AI's complexities, aiming to bridge academic-industrial gaps. Prioritising transparent reporting and societal impact over financial gain is crucial for AI's integrity.

Thrilled to unveil FoodMarketMap application at Dnevi slovenske informatike 2024, enhancing food shopping for health & sustainability! Selected as an innovator under FOODITY project. 🌱📷 #FoodMarketMap #SustainableShopping w/ ФИНКИ, Zerodays

Dive into our latest survey on Meta-features for Automated Algorithm Selection in Black-box Single-objective Continuous Optimization! 🔍✨

🔍 Ana Kostovska 🇫🇷Carola Doerr, Sorbonne University, France Which Multi-Label Classification (MLC) algorithm to select? Ana's work addressed this selection problem with an explainable approach that uses the dataset features and a trained algorithm selector.

Check out our new paper "Opt2Vec" on representation learning for optimization process trajectories! 🔹 Opt2Vec captures algorithm behavior 🔹Suitable for dynamic problem characterization 🔹 Invariant to transformations 🔹 Scalable across dimensions sciencedirect.com/science/articl…

Excited to share that our CEO, Božanka Vitanova, is featured in Forbes! She discusses AI's impact on work and TeamLift's focus on transparency. Curious how AI could affect your work? Try TeamLift for free: teamlift.co/for-individuals Your feedback is vital!

How well do GPT models recognize food entities? 🍎🔍 Our new paper explores their performance. Extracting key info is vital for intelligent systems, especially in the food sector for nutritionists and clinicians. FOODITY frontiersin.org/journals/nutri…

Launching #AutoLearnSI, a Horizon Europe 🇪🇺 project at @JSI_Slovenia! Advancing AutoML & AutoOPT in research & education. Led by Eva Tuba & Tome Eftimov, with 🇫🇷🇩🇪🇳🇱🇧🇪 support & 🇲🇰 knowledge transfer! Photo Credit: Marjan Verc. #ResearchImpactEU #EUInnovation #HorizonEU European Research Executive Agency

Thrilled to host CarolaDoerr from Sorbonne Univeristy, an assocaited partner, at AI@JSI! Her talk on "Generating Point Sets of Small Star Discrepancy" showcased how solver-based optimization are reshaping experimental design, numerical integration & ML. #HorizonEU

🚀 Great news from IEEE CEC 2025! 🚀 Three of our papers - two in the regular track & one in the journal-to-conference track - have been accepted! Work related to algorithm footprints, search dynamics, and feature-based selection. #ResearchImpactEU #EUInnovation #HorizonEU

🚀 Our #PhD positions are now open for applications! 🔬✨ Join us in advancing automated machine learning and optimization. 👉 More details: autolearnsi.eu/news/7733b3c5-… #HorizonEU #ERAChair

📢 On July 15 at GECCO 2025, join us for our tutorial: "Recent Advances in Features for Black-box Single-objective Optimization" 🕤 09:30–11:20 | 📍 Room Azul We’ll cover problem & algorithm representations, feature-based learning, and AutoOPT insights! #GECCO2025 AutoLearn-SI