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

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

A groundbreaking new study published in NeuroImage: Reports demonstrates that whole-brain Single Photon Emission Computed ...

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...

Spread the love“`html In an age where technology is advancing at breakneck speed, understanding the impact of modern ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Contemporary food systems face a profound paradox: never before have we produced so much food or accumulated so much knowledge about nutrition, yet ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

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

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