The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
Bun 1.3 revolutionizes full-stack JavaScript development with unified database APIs and zero-config frontend setup.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
With the iPhone Air and iPhone 17 Pro lineup, Apple shipped a major upgrade alongside the A19 Pro chip – 12GB of unified memory. That’s 50% more than the iPhones that directly preceded it, and double ...
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 ...
For all of Elon Musk’s grand promises over the past couple of years about game-changing budget Teslas, the much-touted affordable models have arrived with more of a polite cough than a thunderclap. As ...
For years, Apple has reserved the best that it has to offer for the Pro model iPhones. Fast screens, high-res cameras, big batteries, faster charging — you name it. While that makes sense from a ...
The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was released in January — did not hinge on being trained on the output of its ...
Follow ZDNET: Add us as a preferred source on Google. There are plenty of dedicated iPhone users like myself who are loyal to base model iPhones. When I upgrade my iPhone every two or so years, I ...
In a lab nestled within Singapore’s innovation district, predictive models are being fine-tuned to help cities around the world make smarter decisions – from managing energy consumption to optimizing ...
Ford’s CEO calls its new EV a “Model T moment,” a claim that suggests a revolution in affordability. We analyze if a low-cost, LFP-powered car can truly live up to the legacy of the car that put the ...
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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