Opinion
88% of Companies Use AI, But Most Still Cannot Scale It: Why AI Demos Fail When They Meet Production
McKinsey’s 2025 AI research shows the contradiction that defines enterprise AI. Eighty-eight percent of companies report regular AI use in at least one business function, yet most still sit in ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
NEW YORK, July 3, 2026 /PRNewswire/ -- Allora Labs today launches Forge, the world's first arena for predictive intelligence: a live environment where AI models compete on real-world problems, improve ...
Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Spread the love“`html The tech world was buzzing with excitement when Anthropic announced the launch of its most advanced AI model yet, Claude Fable 5. However, in a surprising twist, the U.S.
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...
A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.
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