GitHub

Deep learned, NVIDIA-accelerated 3D object pose estimation

Those packages use GPU acceleration for DNN inference to estimate the pose of an object. The output prediction can be used by perception functions when fusing with the corresponding depth to provide ...
The Lancet

Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study

aDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK bDepartment of Neurology, King's College Hospital National ...
Backstage

Can models become actors?

Although modeling and acting are very different, both models and actors must be adept at emoting and communicating a variety of moods with their faces and bodies. Specific skills that models can use ...
IEEE

Efficient Modeling of Charge Trapping at Cryogenic Temperatures—Part I: Theory

Abstract: Charge trapping is arguably the most important detrimental mechanism distorting the ideal characteristics of MOS transistors, and nonradiative multiphonon (NMP) models have been demonstrated ...
IEEE

Synthetic Aperture Radar Image Statistical Modeling: Part Two-Spatial Correlation Models and Simulation

Abstract: Following on the first part of our review of synthetic aperture radar (SAR) image statistical modeling [1], which concerns single-pixel statistical models, this article extends our ...