Abstract: The rapid development of advanced sensing and artificial intelligence technologies, has advanced autonomous driving (AD) systems by providing intelligent route planning decisions. However, ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

As enterprise digital transformation advances with increasing depth and precision, the ability to efficiently manage and harness massive datasets has become the core competitive barrier. Facing the ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

NEC X, the Silicon Valley venture studio backed by NEC Corporation’s advanced technologies and global businesses, today announced that Metabob, an AI-powered code intelligence company from NEC X’s ...

Spire.AI Empollination and CrossKnowledge Capabl partner to deliver contextual learning aligned to evolving enterprise ...

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

Online shopping has evolved into a high-speed data battlefield where every click, scroll, and purchase feeds algorithms that decide what consumers see next. Retail giants now depend on advanced ...

Abstract: As cloud computing revolutionizes various fields, the demand for scalable and flexible computing resources has grown significantly. Applications in large-scale engineering simulations, ...

Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation 2025-12-17 17 pa... 17 pages. To appear in KDD'26 Datasets Uncovering Alzheimer's Disease Progression via SDE-based ...