Communications of the ACM

Can We Understand How Large Language Models Reason?

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
Frontiers

Next-gen neuro-AI: Aligning foundation models and biologically plausible architectures with human cognition

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
IEEE

A Physics-Informed Neural Network Framework for Real-Time Model Predictive Shape Manipulation of Deformable Linear Objects

Abstract: Shape control of deformable linear objects (DLOs) is a major challenge in robotics due to their high-dimensional, nonlinear dynamics and sensitivity to boundary conditions. Existing ...
Neuroscience News

LLMs and Math Combine to Map Human Decision-Making

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Free-text answers and LLMs reveal hidden reasons behind human choices

Why do people make the choices they do? Researchers from the Center Synergy of Systems (SynoSys) at TUD Dresden University of Technology, the Max Planck Institute for Human Development, and the ...
IEEE

A Transformer Neural Network Model-Based Method for TCXO Disciplining and Holdover

Abstract: While Temperature-Compensated Crystal Oscillators (TCXOs) provide an economical solution for local timing in communication systems, their inherent holdover limitations have historically ...