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Explore the future of AI at the edge with Tony Lewis, CTO of BrainChip, at the Embedded Vision Summit. He'll contrast state-space models (SSMs) with transformers, showing how SSMs, with their read-only architecture, reduce power consumption and chip area. embeddedvisionsummit.com/2025/session...

embeddedvisionsummit.comState-Space Models vs. Transformers for Ultra-Low-Power Edge AI - 2025 Embedded Vision SummitAt the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In this presentation,...

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