Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

Charles R. Goulding and Preeti Sulibhavi explain how manufacturing fundamentals, AI-driven design, and a renewed focus on reliability and workflow integration are defining the industry’s next phase.

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

Imitation learning teaches AI agents by example: show the agent recordings of how people perform a task and let it infer what to do. The most common approach, Behavior Cloning (BC), frames this as a ...

According to @godofprompt, Anthropic has published evidence showing that AI reasoning models can deteriorate in accuracy and reliability as test-time compute increases, a phenomenon called 'Inverse ...

According to @godofprompt, Anthropic's latest research demonstrates that increased computation time during inference, known as 'Inverse Scaling in Test-Time Compute,' can actually degrade the accuracy ...

ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).

The API cannot be considered stable. If you depend on this package, pin the version. Testing has not been extensive as of now. Please check and verify! There is currently no documentation beyond this ...

I hereby dedicate the contents of this disclosure to the public domain so that it may serve as prior art. One of the key challenges when controlling extrusion based additive manufacturing equipment is ...