When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

This repository contains the code and data associated with the research paper: "Automated Regression Workflow for Interpretable Deflection Prediction in Bio-Inspired Laminated Composite Plates" Shakti ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Abstract: In recent years, as the demand for computing power in scientific computing has progressively increased, the scale of scientific applications has also grown, at the same time the number of ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

The Expanding Universe of CNC Applications and Market Drivers The demand for sophisticated CNC solutions is fueled by several ...

Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

As AI systems begin to act, enterprises face a new crisis: how to govern decisions, risk, and compliance in a world run by software. Agentic AI is a control problem, not a tooling upgrade. Without a ...

Figure 1. Schematic diagram of CO 2-WAG technique and CCUS aims. Table 3. CO 2-WAG parameters range. The script then automatically runs numerical simulations number-by-number using the created data ...

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more accurate animal diagnoses.