May 19, 2025 5:00 PM Eastern Daylight Time

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

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LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced that Dr. M. Anthony Lewis, the company’s Chief Technology Officer, will present at the Embedded Vision Summit, taking place May 20–22, 2025 in Santa Clara, CA. The Summit is the premier conference for innovators focused on computer vision and edge AI technologies.

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

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Dr. Lewis’ presentation, titled “State-Space Models vs Transformers at the Extreme Edge: Architectural Choices for Low Power AI,” will examine the trade-offs and opportunities in designing AI models for environments with severe energy and compute constraints.

In his session, Dr. Lewis will explore how State-Space Models (SSMs)—including BrainChip’s proprietary Temporal Event-based Neural Networks (TENNs)—offer significant advantages over traditional Transformer architectures in edge scenarios. Unlike Transformers, which rely on energy-intensive read-write memory architectures, SSMs support read-only operations that reduce total system power and enable the use of novel memory types. With fewer MAC (multiply-accumulate) units required, SSMs further minimize energy consumption and chip area. The talk will also highlight methods for migrating from Transformer-based models like LLaMA to SSMs using distillation, preserving accuracy while dramatically improving efficiency.

Attendees of the Summit can visit BrainChip at booth #716 to see live demonstrations of the company’s latest advancements in Edge AI technology, including innovations in on-chip language processing, ultra-low power inference, and Akida-powered solutions.

“State-space models are redefining the limits of real-time, low-power intelligence at the edge,” said Dr. Lewis. “This presentation will show how BrainChip is delivering scalable, efficient, and highly interactive AI solutions for today’s most demanding embedded environments.”

This participation reinforces BrainChip’s leadership in the rapidly growing field of real-time streaming Edge AI, bringing highly efficient compute to devices in aerospace, automotive, robotics, consumer electronics, and wearables.