Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

Are you leading a search for a role at the intersection of learning, technology and organizational change? Today, we hear from Eric Kunnen, senior director of IT innovation and research at Grand ...

Vera West made her mark on 20th-century horror cinema. Historians continue to ponder the sad circumstances of her story Elyssa Goodman - Freelance Writer She lies on the table with her body wrapped in ...

Despite the title of this article, this is not a DP-100 exam braindump. I do not believe in cheating. Memorizing real exam questions provides no professional value. This is not a DP-100 certification ...

Ashford Analytics is a data company started by Adam Ashford and it is valued at over forty million dollars. After founding the Ashford Trust Adam became the company chairman and lead technologist.

After 7 years of service with a great team, I’ve been laid off from Duke, like many of my colleagues. I’m taking some time to consider what I want to do next. This includes any of my areas of ...

Microsoft is taking Azure Machine Learning one notch up with its latest addition, the ND H200 v5 virtual machines. As Microsoft notes, these VMs are powered by NVIDIA’s H200 Tensor Core GPUs and are ...

OpenAI’s New Open Models Are Available on Microsoft’s Azure AI Foundry Your email has been sent Developers can now build, test, and deploy applications powered by OpenAI’s gpt-oss models within the AI ...

To begin the process, it’s necessary to have an Azure account with an active subscription and an existing Azure Virtual Machine. By default, Azure assigns a dynamic private IP address to VMs, allowing ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...