Analogue computers could train AI 1000 times faster and cut energy use

Analogue computers use less energy than digital ones metamorworks/Getty Images Analogue computers that rapidly solve a key type of equation used in training artificial intelligence models could offer a potential solution to the growing energy consumption in data centres caused by the AI boom. Laptops, smartphones and other familiar devices are known as digital computers,…

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The missing data link in enterprise AI: Why agents need streaming context, not just better prompts

Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time. The challenge is infrastructure. Most enterprise data lives in databases fed by extract-transform-load (ETL) jobs that run hourly or daily — ultimately too slow for agents that must respond…

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