Forget the hype about AI "solving" human cognition, new research suggests unified models like Centaur are just overfitted "black boxes" that fail to understand basic instructions.

Abstract: Self-adaptive systems require sophisticated modeling approaches that capture both individual cognitive behaviors and emergent collective phenomena. Current modeling paradigms excel at ...

While tremendous relief comes from successfully battling cancer, survivors can also experience cognitive impairments caused by the disease and its treatment. Up to 70% of survivors experience trouble ...

Reading is a fundamental cognitive-linguistic process that involves the dynamic interaction of multiple interrelated cognitive and perceptual mechanisms. Existing reading models are often limited in ...

As artificial intelligence seamlessly integrates into our daily lives, psychologists and cognitive scientists are grappling with a fundamental question: How is AI reshaping the very architecture of ...

Abstract: This review paper explores recent advances in machine learning approaches with emphasis on deep learning techniques for non-invasive cognitive impairment detection. We examine various ...

ABSTRACT: This paper aims to critically evaluate Beck’s cognitive model of depression, analyzing its foundational concepts, its application in modern mental health care, and its relevance in the ...

Forbes contributors publish independent expert analyses and insights. Scott Hutcheson teaches leadership at Purdue University. Jan 03, 2025, 06:30am EST Female Inventory Manager Shows Digital Tablet ...

ABSTRACT: The knowledge system of high school mathematics is extensive, logically rigorous, highly abstract, and challenging. Reasoning-based teaching is the primary method, with blackboard teaching ...

Despite the extensive history of investigation, characterization and diagnostics of giftedness is still a point of debate. The lack of understanding of the phenomenon affects the identification ...