Abstract: Detecting and diagnosing faults in rotating machines is crucial for ensuring the safety and reliability of modern industrial cyber-physical systems. Traditional data-driven fault diagnosis ...

Abstract: This research aims to propose a terahertz metamaterial-based absorber that can sense the alterations in the enclosing medium’s refractive index. The suggested layout comprises a pair of ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

As students return to school this fall, they will step into a landscape transformed by AI. Entering her first year of teaching as a graduate assistant at Bowling Green State University, Sydney Koeplin ...

Help build the future of AI for materials science by optimizing a cutting-edge model on next-generation NVIDIA GPUs. Once you begin the digital badge series, you will have access to all the necessary ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Taylor worked with AP from 2018 to 2025, most recently as Google Editor. The Google Pixel 10 series is finally here, bringing with it upgrades like a new Tensor G5 chipset, all manner of new AI ...

Este módulo práctico introduce los fundamentos de programación en Python con ejemplos del ámbito biológico (FASTA, GC%, k-mers). Está pensado para ejecutarse en Google Colab (cero instalación) o de ...

It’s the most transparent estimate yet from one of the big AI companies, and a long-awaited peek behind the curtain for researchers. Google has just released a technical report detailing how much ...