It may be niche, but it's a big niche in a data-driven world.

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...

Enlisting the help of artifical intelligence to pick the 2026 Masters champ might feel like a last resort, what could go wrong?!?

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

Our mind seems capable of learning unconsciously the patterns followed by stimuli in our environment (e.g., the grammar rules in our native language). At the same time, our mind also generates ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Statistical learning (SL) is a fundamental cognitive ability enabling individuals to detect and exploit regularities in environmental input. It plays a crucial role in language acquisition, perceptual ...

In my first presidential column in October, I highlighted interdisciplinary work between cognitive psychology and other subareas of psychology, focusing on work integrating social–emotional factors ...

The manuscript provides important new insights into the mechanisms of statistical learning in early human development, showing that statistical learning in neonates occurs robustly and is not limited ...