IBM's New Analogue Chip Boosts AI Energy Efficiency

IBM has developed an analogue chip that can run AI speech recognition models 14 times more efficiently than traditional chips, potentially providing a solution to the rising energy demands and carbon footprint of AI.

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Relevant topic timeline:

8/22/2023

IBM reports analog AI chip patterned after human brain

IBM researchers have developed a mixed-signal AI chip inspired by the human brain, which features analog in-memory cores and achieves high accuracy rates in image recognition tasks while consuming less power.

8/23/2023

IBM team builds low-power analog AI processor

IBM has developed a phase-change chip that performs speech recognition with reasonable accuracy and lower energy consumption, utilizing phase-change memory to store and represent the strength of connections between nodes in analog mode.

8/25/2023

IBM’s Brain-Inspired Analog Chip Aims to Make AI More Sustainable

IBM has developed a 14-nanometer analog chip for artificial intelligence (AI) that combines computation and memory, similar to the human brain, leading to faster and more energy-efficient processing, making it a significant step towards sustainable AI.

9/7/2023

Industries Accelerate Adoption of Speech AI to Transform Customer and Employee Experiences

Speech AI is being implemented across various industries, including banking, telecommunications, quick-service restaurants, healthcare, energy, the public sector, automotive, and more, to deliver personalized customer experiences, streamline operations, and enhance overall customer satisfaction.