Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Overview:  Explains algorithms in simple language with everyday examples anyone can understand.Covers major algorithm types, ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

Abstract: Building extraction from airborne LiDAR data is significant for the accurate modeling of urban structures and constitutes a pivotal step in urban 3-D reconstruction. However, in complex ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

A Chinese research team has achieved a breakthrough in improving the training efficiency of Graph Neural Networks (GNNs). They introduced an ...

Ankit Pensia is an assistant professor in the Department of Statistics & Data Science at Carnegie Mellon University. He was formerly a research fellow at the Simons Institute and a Herman Goldstine ...