Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

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

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 ...

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 ...

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

The shipping industry has witnessed tremendous growth in the international, global carriage of goods by container vessels. Container ships have been ever increasing in size, and capacity. There are ...

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.

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.

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

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 ...

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