IBM Research has unveiled an analog AI chip that demonstrates remarkable efficiency and accuracy in performing complex computations.
The new AI chip is developed in IBM’s Albany NanoTech Complex and comprises 64 analog in-memory compute cores. By borrowing key features of how neural networks run in biological brains, IBM explains that it has embedded the chip with compact, time-based analog-to-digital converters in each tile or core to transition between the analog and digital worlds.
With more and more foundation models and generative AI tools entering the market, the performance and energy efficiency of traditional computing methods that these models run on are at a testing limit. Speaking to BBC, Thanos Vasilopoulos, a scientist based at IBM's research lab in Switzerland, compared the human brain to traditional computers and said that the former “is able to achieve remarkable performance while consuming little power.”
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