Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

Abstract: In the three-player engagement, the missile must confront an active defense target—comprising both the target and the defender—while simultaneously pursuing the target and evading the ...

Habituation, or loss of clinical benefit over time, is a frequent problem in spinal cord stimulation (SCS). Existing programming strategies such as waveform cycling or closed-loop stimulation try to ...

SVGP-KAN is a library for building interpretable, probabilistic, and scalable neural networks. It merges the architecture of Kolmogorov-Arnold Networks (KANs) with the uncertainty quantification of ...

Moving From 'Tools' to Teammates Who "Think With Us." We’ve all worked with someone who could follow instructions but couldn’t adapt when things changed. We even have a derogatory term to describe a ...

Quantum machine learning (QML) is an emerging research field that deals with quantum algorithms for data analysis. It is hoped that QML will yield practical demonstrations of quantum advantage by ...

Dr. Karl Friston is a distinguished computational psychiatrist, neuroscientist, and pioneer of modern neuroimaging and, now, AI. He is a leading expert on intelligence, natural as well as artificial.

Abstract: Despite significant advances in robotics and deep learning, the ability of robots to perceive and act remain far below that of humans. To bridge this gap, we utilize active inference, a ...

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...

The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...