The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Engaging System 2 requires significant metabolic energy. Your brain consumes a lot of your body’s energy as it is; intense ...

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 ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Business leaders can’t outsource mathematical thinking to AI without sacrificing judgment, because real-world business ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

One of the most overlooked aspects of AI tools for CAS is how simple tweaks can make a huge difference on the bottom line and ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...