The February 2021 archive explored why a convincing digital face was only one part of a humanlike video-call experience. It described the difficulty of bringing several technologies together in real time.
The original article separated appearance, voice, emotional expression, movement and conversation. A realistic avatar could still feel unconvincing if speech, gestures and responses did not fit together. Improvements in one component could raise expectations that the rest of the system could not meet.
The piece discussed motion capture, synthetic speech and procedural animation as they stood in 2021. Its assessment of conversational capability belongs to that period. The product-design question it raised was whether an assistant should imitate a person at all, and how users should be told that they are interacting with an artificial character.
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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