Justifiably, while big data is the primary interest of research and public discourse, it is
essential to acknowledge that small data remains prevalent. The same technological and …

Cardiovascular disease remains an integral field on which new research in both the
biomedical and technological fields is based, as it remains the leading cause of mortality …

In breast cancer research, diverse data types and formats, such as radiological images,
clinical records, histological data, and expression analysis, are employed. Given the intricate …

According to a recent proposal, natural concepts are represented in an optimally designed
similarity space, adhering to principles a skilled engineer would use for creatures with our …

Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances
in neuroscience, alongside huge leaps in computer processing power over the last few …

Quantitative, data-driven models for mental representations have long enjoyed popularity
and success in psychology (eg, distributional semantic models in the language domain), but …

Agent-based models (ABMs) are widely used to study how individual interactions shape
collective behaviors. Critics argue that ABMs are often too simplistic to capture real-world …

Induction—the ability to generalize from existing knowledge—is the cornerstone of
intelligence. Cognitive models of human induction are largely limited to toy problems and …

In this paper, we introduce an AI-mediated framework that can provide intelligent feedback
to augment human cognition. Specifically, we leverage deep reinforcement learning (DRL) …

Our brains are good at detecting and learning associative structures; according to some
linguistic theories, this capacity even constitutes a prerequisite for the development of syntax …