Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Detailed explanation and hands-on Python implementation of dropout from scratch. #Dropout #PythonAI #NeuralNetworks Trump announces two new national holidays, including one on Veterans Day The ...

This work deals with fitting 2D and 3D implicit polynomials (IPs) to 2D curves and 3D surfaces, respectively. The zero-set of the polynomial is determined by the IP coefficients and describes the data ...

Geospatial 3D data is providing a new, more detailed perspective on the physical world, allowing for better analysis and insights, visualization and decision-making across many industries and sectors.

Accurately tracking large tissue motion over a sequence of ultrasound images is critically important to several clinical applications including, but not limited to, elastography, flow imaging, and ...

An AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D shapes.

(2) The data pre-processing model is based on polynomial surface fitting to maximize and normalize the original dataset, aiming to build a more accurate learning sample set. Currently, most research ...