School violence has escalated from isolated bullying into systemic crises involving firearms, knives and organized assaults. The immediate root causes lie in the erosion of the family unit, the ...

A popular way to explain how current LLMs work is to say that “all” they do is predict the next most likely word in a sentence. From one perspective, this is correct. Trained on all human language, ...

Abstract: Deep learning is widely used to decode the electroencephalogram (EEG) signal. However, there are few attempts to specifically study how to explain EEG-based deep learning models. In this ...

AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, ...

Abstract: Explainable artificial intelligence is beneficial in converting opaque machine learning models into transparent ones and outlining how each one makes decisions in the healthcare industry. To ...

To appreciate how social learning theory and behaviorism differ, it’s essential to look at their origins. Behaviorism, developed in the early 20th century, primarily focuses on observable behaviors.

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Financial markets (and more generally the real economy) display a wide range of important nonlinearities. This paper focuses on stock returns, which are skewed left – generating crashes – and whose ...

On-die telemetry gives architects a path to replace worst-case design margin with measured silicon behavior, improving PPA without compromising resilience. As monitor density and control-loop speed ...

Kimberly Nesbitt has studied extensively how young children’s cognitive development can be accelerated in learning ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...