Clinical evaluation of large language models (LLMs) currently relies on static datasets and isolated scenarios that fail to capture the cascading effects of healthcare decisions. We propose the ...

The prediction of user behavior on digital platforms is foundational to applications ranging from personalized recommender systems to adaptive user interfaces. Traditionally, Markov chain-based models ...

If there has been a recent big CS2 update and your server is broken. We need to wait for the community to update their signatures and mods. This isn't a quick process. Valve gives no notice. People do ...

Welcome everyone to the second annual European Microsoft Fabric Community Conference this week in the vibrant city of Vienna, Austria! With more than 130 sessions and 10 full-day workshops, this ...

This project originated as part of a Master's Thesis within the "Digital Media - Computational Intelligence" program at the Computer Science Department of Aristotle University of Thessaloniki. Below ...

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Generating synthetic locomotory and neural data is a useful yet cumbersome step commonly required to study theoretical models of the brain’s role in spatial navigation. This process can be time ...

Historically viewed as a niche economic sector, gaming is now projected to exceed a global annual revenue of $218.7 billion in 2024, taking advantage of recent Artificial Intelligence (AI) advances.

Developing intelligent neuromorphic solutions remains a challenging endeavor. It requires a solid conceptual understanding of the hardware's fundamental building blocks. Beyond this, accessible and ...

Data-driven methods have been revolutionizing the way physicists and engineers handle complex and challenging problems even when the physics is not fully understood. However, these models very often ...