The archive’s March 2021 item drew on The New York Times’ Currents coverage of AI in daily life. It considered how assistants, connected devices, entertainment services and educational tools could become more personalised.
The discussion included moving models onto devices, using recommendations to organise content and developing more capable conversational interfaces. It also explored ambient sensing: systems that combine observations from a surrounding environment.
The article connected these possibilities with privacy, including approaches such as federated learning. Its forecasts represented the research and industry discussion of early 2021. This short archive summary preserves those themes without reproducing the original feature or presenting its predictions as accomplished outcomes.
Original feature — The New York Times, Currents ↗The original November 2022 explainer introduced three terms often grouped together under artificial intelligence: narrow AI, general AI and superintelligence. They describe different levels of capability, rather than three interchangeable labels for the same technology.
Our October 2022 industry overview looked at five areas exploring machine learning: healthcare, transport, finance, retail and property valuation. Each used prediction or pattern recognition, but with very different data and consequences for mistakes.
The October 2022 archive explored how computer-aided systems could support clinicians by organising images, records and monitoring data. Its central theme was assistance with information-heavy work, with diagnosis and treatment remaining clinical responsibilities.
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