Autoregressive models predict future values using past data patterns. Discover how these models work and their application in ...
The two-stage AI framework for geopolymer concrete mix design significantly improves predictive accuracy, facilitating the ...
Lessons learned from developing an inferential model for predicting food insecurity yield essential insights and actionable ...
Now, new research suggests that large language models can sometimes show a similar tendency when specifically trained to ...
We conducted a two-phase evaluation. First, we assessed LLMs (GPT o4-mini and Gemini 2.5 Pro) on 1,000 synthetic clinical hematology/oncology vignettes with ...
This new article is here. The Introduction: Artificial general intelligence is "probably the greatest threat to the continued existence of humanity." Or so claims OpenAI's Chief Executive Officer Sam ...
(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
WARNING:absl:Importing a function (__inference_internal_grad_fn_217398) with ops with unsaved custom gradients. Will likely fail if a gradient is requested. WARNING:absl:Importing a function ...
This is the third in a three-blog series on PLDC. The first installment was “Improving Uniformity and Linearity for All Masks,” from January 29, 2025. The second blog was “Three Ways Curvy ILT ...
Abstract: This article considers a robust identification problem of errors-in-variables (EIVs) system with nonlinear input generation process. In addition, we consider that the output data has both ...