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Beyond GPUs: Innatera and the quiet uprising in AI hardware
We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More While much of the tech world remains fixated on the latest large language models powered by Nvidia GPUs, a […]
Kumar highlighted several compelling use cases, including always-on audio processing for voice activation, real-time sensor fusion for robotics and autonomous systems, and ultra-low power computer vision. The T1 combines an event-driven computing engine with a conventional CNN accelerator and RISC-V CPU, creating a comprehensive platform for ultra-low power AI in battery-powered devices. As these brain-inspired chips make their way into consumer devices and industrial systems, we may be on the cusp of a new era in artificial intelligence – one that’s faster, more efficient, and more closely aligned with the remarkable abilities of biological brains.
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