XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

There's an important distinction between AI that just works today, and AI that lasts at scale. Many companies optimize hard ...

One of the biggest myths around artificial intelligence is that it can simply create a new medicine on its own. That is not ...

The infrastructure moment for AI-driven drug discovery continues to accelerate, with billion-dollar investments flowing into ...

Abstract: Flight delay is a fundamental problem present in the global aviation system. Delay-inducing disruptions are caused by various reasons, including increased global connectivity / dependency, ...

Hadoop stores massive amounts of data across many computers safely.Spark processes big data much faster than traditional ...

Leading AI researcher Yan LeCun has a start-up which is developing a more flexible AI system.

The field of oncology is rapidly being transformed by advances in artificial intelligence (AI), with growing evidence ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on a decision that has important policy consequences. Millions of times each year, ...

Abstract: Parkinson's disease (PD) is a progressive central nervous system disorder characterized by tremors, vocal cord disorders, bradykinesia, and slurred, slow speech. After Alzheimer's disease, ...