AI in LIMS platforms is reshaping research data management, from automated data capture to anomaly detection. Discover how ...

But also, cloud computing is for everyone, but not for every organisation’s IT budget where (for example) AI token usage ...

China is pioneering a distinct AI approach, prioritizing systems for real-time urban, industrial, and logistical coordination ...

Banks share a growing desire to use AI to become faster and more innovative. Yet, for many organizations, the real challenge ...

Recent advances in artificial intelligence have yielded remarkable demonstrations in speech, language, code generation, and ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

USP standards enhance reliability by reducing process variability, improving technology transfer, and supporting regulatory alignment, particularly relevant for generics and multi-site manufacturing ...

Around the 2026 FIFA World Cup, Hyundai and Boston Dynamics have taught footwork to the Atlas humanoid, while the Spot robot ...

Abstract: We propose a robust data-driven model predictive control (MPC) scheme to control linear time-invariant systems. The scheme uses an implicit model description based on behavioral systems ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

But in the era of user-generated content and AI, reputation is a vital key performance indicator (KPI). It’s a quantifiable ...

Abstract: Finite control set model predictive control is an emerging technique for the control of power electronic converters. This paper introduces a simple and efficient predictive torque control ...