Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

The study highlights that autonomous vehicle infrastructure presents a large and complex attack surface. Vehicles now contain ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, lakes, and coastal ...

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

The U.S. Deep Learning Chipset Market is estimated at USD 3.73 billion in 2025 and is projected to reach USD 53.62 billion by 2035, growing at a CAGR of 30.59% from 2026–2035. Rapid adoption of AI ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

The human brain is often compared to a computer, but the latest wave of research shows it is closer to a self-building city, ...

Lucia Martinescu (Principal Investigator) and Marius Dima (Cognitive AI & Data Architecture)  This article is part of ...