John K. Waters
Editor-in-Chief at Application Development Trends (ADT)
Editor-in-Chief at Pure AI
As Editor in Chief in the @Converge360 group of @1105media, I manage @PureAINews & @ADTmag, and I moderate our webcasts. Contact me at [email protected].
Articles
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2 days ago |
pureai.com | John K. Waters
News The Trump administration is preparing a package of executive actions aimed at increasing energy supply to support artificial intelligence development in the United States, as the country competes with China in a technological race that requires massive power resources, Reuters has reported.
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2 days ago |
adtmag.com | John K. Waters
News Enterprise Java software company Payara announced the launch of Payara Qube, a cloud-native platform designed to automate Java application deployment and reduce Kubernetes management complexity for enterprise customers. The platform targets organizations seeking to modernize Java applications without extensive infrastructure management overhead. Payara Qube provides pre-configured Kubernetes environments and automation tools for Jakarta EE, Spring, and Quarkus applications.
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3 days ago |
adtmag.com | John K. Waters
News Google on Wednesday released Gemini CLI, a new open-source command-line interface that integrates its Gemini AI models directly into developer terminals. The tool is available in preview and is designed to support coding, research, and system-level tasks using natural language prompts.
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4 days ago |
pureai.com | John K. Waters
News Hewlett Packard Enterprise and Nvidia announced an expanded partnership Tuesday to accelerate enterprise artificial intelligence adoption through new modular infrastructure and turnkey AI platform offerings. The companies unveiled the expanded collaboration at HPE Discover in Las Vegas, introducing "AI factory" solutions that combine Nvidia's computing hardware and software with HPE's servers, storage and services.
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4 days ago |
pureai.com | John K. Waters
News Google on Tuesday launched Imagen 4, the latest version of its text-to-image generation technology, making it available via the Gemini API and Google AI Studio. The release includes two model variants—Imagen 4 and Imagen 4 Ultra—aimed at advancing image quality and precision in AI-generated visuals. The company said the models offer substantial improvements over previous versions, particularly in rendering textual elements within images—a common challenge in generative AI.
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Great new "Practical AI" column from @HowardMCohen in @PureAINews: https://t.co/rIlCywS249
https://t.co/w0hrKy9hNr
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