The 2025 series of the Decision Advantage Sprint for Human-Machine Teaming marked a significant step forward in the ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...

Machine learning is quietly rewriting the rules of the cosmic hunt for company. Instead of waiting to recognize familiar ...

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Why traditional safety metrics fail to prevent serious injuries and fatalities—and how AI helps EHS teams identify PSIF risks before life-altering events occur.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...

There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.

The fetish of automation masks the commodification of combat judgment. Corporate software reshapes war while preserving just ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...