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Stacked AI chip tracks motion changes over time

Original: Stacked AI chip uses fast and slow layers to recognize changes in motion over time

Engineers have developed a stacked AI chip that combines fast and slow processing layers to recognize changes in motion over time. The design pairs layers operating at different speeds, allowing the chip to detect both immediate movement and longer-term patterns. The approach could improve event-based vision systems used in robotics, surveillance and autonomous machines, and is drawing attention among researchers following neuromorphic and edge computing hardware.

Why now: New chip architecture offering time-aware motion recognition is relevant to ongoing advances in neuromorphic and edge AI hardware

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