The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

Fit-ligand is a computational algorithm that enables accurate modeling of multiple conformational states of ligands in X-ray crystallography and cryo-electron microscopy (cryo-EM).

Illinois engineers fused ultrafast imaging with smart algorithms to peek at living brain chemistry, turning routine MRIs into ...

A I is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

In this article, we'll show how we created our web application crawling algorithm to ensure complete testing coverage for modern applications.

Xanadu Quantum Technologies has launched a project with Mitsubishi Chemical to develop quantum algorithms for extreme ...

Keyword optimization is no longer the key to developing high-performing content. The more effective approach is creating ...

Taalai Djumabaev spent 15 years at companies like Google and Deutsche Bank before quitting to help other IT specialists ...