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 ...
Leave it to Valve to announce some new hardware out of left field that quietly one-ups its competition, except for maybe Nintendo. If anything, Nintendo might be an inspiration for the PC czar and its ...
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 ...
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 ...
Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...
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 ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
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