At a meeting in Beijing, the architects of China’s AI ecosystem outlined a new path to AI dominance – one that avoids U.S.

AI shows 14-55% task-level productivity gains, but 95% of enterprise AI pilots fail. Nobel economist projects only 0.5% ...

OpenAI's GPT-5.2 Pro has solved multiple decades-old Erdős math problems, but Fields Medalist Terence Tao says the wins ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Zhang, E. and Zhang, J. (2026) The Rising Influence of Technology and AI on the Hospitality Industry: A Qualitative Review. Open Journal of Business and Management, 14, 456-465. doi: 10.4236/ojbm.2026 ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

QuoteIQ, a CRM platform built for mobile and field service businesses, has announced the launch of Route Density, a new ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

Gig economy platforms like Zomato, driven by algorithms, are increasingly shaping worker behavior and earnings through opaque ...

Sergio Perez has reflected on his time at Red Bull and the difficulties of driving alongside four-time champion Max Verstappen. The Mexican driver joined the Milton Keynes outfit in 2021 after stints ...

Abstract: This paper discusses formulations and algorithms which allow a number of agents to collectively solve problems involving both (non-convex) minimization and (concave) maximization operations.

Scroll through any social feed today, and patterns emerge quickly. Posts are fluent, well-structured, and oddly similar in tone. As brands and creators lean on automation to keep up with posting ...