Personnel won't be able to fully process all the data available on the modern battlefield. That's where artificial intelligence applications come in.

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

The acquisition could help enterprises push analytics and AI projects into production faster while acting as the missing autonomy layer that connects Fabric’s recent enhancements into a coherent ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

TL;DR: Valve's upcoming Steam Machine aims to deliver an affordable, living room-friendly PC gaming experience with 4K @ 60FPS performance and direct Steam library access. A recently datamined ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

You’ll have two different options to complete your Master of Science in Data Science, each designed to give you the flexibility to match your career goals. Course-focused: Take classes such as ...

In the current political climate, the last bulwark against the abusive deployment of corporate-owned generative artificial intelligence might just come from union shareholders. “As investors, we are ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...