The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

For most of his game-making career, Australian developer dweedes has projected an image of cheeky, punkish rebellion. His website WET GAMIN has accumulated a trove of experimental games over the last ...

GitHub Copilot for Azure is now available in Public Preview inside Visual Studio 2022 (version 17.14 or later). The new extension integrates directly with the Azure MCP server, letting developers ...

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 ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

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 ...

Testing made easy with Azure DevOps! In this session, learn how to create, manage, and track test plans to boost quality and streamline your development workflow. Mary Trump issues warning on ...

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...