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.

Tech companies are claiming machines more intelligent than us and capable of having their own agendas are just around the ...

Researchers explored the nuanced dynamics of how people balance their desire to speak out vs their fear of punishment in a ...

In an age increasingly defined by technological acceleration, clinical efficiency, and data-driven definitions of success, When Science Meets the Soul by Dr. Vipul Mankad arrives as a timely and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Data science is an interdisciplinary field that combines social sciences, advanced statistics, and computer engineering skills to acquire, store, organize, and analyze information across a variety of ...

Objective As ‘critical illness’ and ‘critical care’ lack consensus definitions, this study aimed to explore how the concepts’ are used, describe their defining attributes, and propose potential ...

Objectives To systematically collect and analyse diverse definitions of ‘evidence’ in both health and social sciences, and help users to correctly use the term ‘evidence’ and rethink what is the ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Section 1. Policy and Purpose. Over the last 5 years, confidence that scientists act in the best interests of the public has fallen significantly. A majority of researchers in science, technology, ...