Access AI and development tools—not to mention expert guidance and Azure credits—when you join Microsoft for Startups. Modern enterprises rely on an increasingly complex software delivery stack, ...

Software developers are using AI to generate co-pilots and remove the drudgery of repetitive manual tasks. However, there may well be a time when AI will take a sketch or basic idea and design the ...

Automated fracturing systems use machine learning models trained on extensive historical data to optimize treatment designs in real-time. Electric frac spreads with centralized digital control enable ...

Community driven content discussing all aspects of software development from DevOps to design patterns. These DP-100 questions are focused on commonly misunderstood Azure Machine Learning concepts. If ...

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...

A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity researchers. The flaw allows attackers with only Storage Account access to ...

Abstract: This tutorial identifies and discusses the main design choices and challenges arising in the application of machine learning (ML) to optical network failure management (ONFM), including ...

Abstract: This paper proposes a machine learning (ML)-based design for a load-independent (LI) wireless power transfer (WPT) system. The proposed design strategy formulates the WPT design as an ...

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The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...