Processing fiber-reinforced polymer (FRP) composites is a complex and multiphysics problem of heat and mass transfer, thermo-chemical phase transitions and highly nonlinear and time-dependent ...

In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.

A YouTube representative said the platform was trying out an experimental feature using AI, but not generative AI, to sharpen ...

By V Srinivas Durga Prasad, Softnautics Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial ...

Our machine learning (ML) assessment runs parallel to the AM process in real-time. Our models perform efficiently in the task of classifying individual raster scans as normal or anomalous.

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

Automated machine learning will allow many of American Fidelity’s employees—actuaries, business analysts, and programmers to develop machine learning applications without relying on a data ...

Amazon's Deep Java Library (DJL) is one of several implementations of the new JSR 381 standard for building machine learning applications in Java.

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food.

AI artificial intelligence concept Central Computer Processors CPU concept, 3d rendering, Circuit board, Technology background, Motherboard digital chip, Tech science background, machine learning ...