Bun 1.3 revolutionizes full-stack JavaScript development with unified database APIs and zero-config frontend setup.
As enterprises continue navigating the complexities of digital transformation, Rahul Jain's work reflects how thoughtful, ...
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Must-try 3D AI platform (Meshy 5 tutorial)
Sponsored by Meshy. Unlock the fastest path from idea to 3D model with Meshy AI 5! In this Blue Lighting tutorial, we walk ...
Discover the best DevOps automation tools for startups in 2025. Explore powerful solutions that enhance development speed, reliability, and collaboration, making your startup agile and competitive in ...
Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...
Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...
In this episode of Uncanny Valley, we discuss the economics and environmental impacts of energy-hungry data centers and whether these facilities are sustainable in the age of AI. Tech giants have been ...
Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...
Sarees are back in fashion. This time, it is not because of Kiara Advani, Alia Bhatt or even Manish Malhotra; but the viral Google Gemini Nano Banana AI trend. From influencers to commoners, everyone ...
Abstract: A distributed data service model integrating MySQL, Redis Sentinel, and MyCat is proposed to tackle performance bottlenecks and availability issues in high-concurrency e-commerce systems.
Traditional transactional databases (TP) do not good at handling analytical computations. Professional OLAP databases are too heavy and often need clustering, resulting in high costs and more ...
While no one has figured out how to make money from generative artificial intelligence, that hasn’t stopped Google DeepMind from pushing the boundaries of what’s possible with a big pile of inference.
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