Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems. These approaches focus on reducing the number of edges in a ...

The SEO industry is undergoing a profound transformation in 2025. As large language models (LLMs) increasingly power search experiences, success now depends on withstanding traditional algorithm ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

In a recent study published in the Proceedings of the National Academy of Sciences, researchers from the United States of America developed and validated "TimeMachine," an algorithm that predicts the ...

Many electronics and digital products use digital signal processing (DSP)algorithms in them. Before any algorithm gets into theproduct, an optimization process is appliedto it. The optimizationprocess ...

Elon Musk recently disclosed the algorithm for the recommendation system of his social media platform X (formerly Twitter), an intelligent filtering system that determines which posts and ads appear ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...