# BrainChip’s IP for Targeting AI Applications at the Edge

- Show: [EE Times Current](https://hardwarepodcasts.com/podcast/ee-times-current)
- Published: 2025-02-07
- Length: 47m
- Page: https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge
- Listen: https://podcast.show/aspencore/episode/141893767/

## Summary

Dr. Tony Lewis, CTO of BrainChip, and scientists Dr. Rudy Rupay, Dr. Olivier Quinan, and Dr. Chris Carlson discuss the company's temporal event-based neural network (TENN) and its application in the Akida chip. They explain how TENN uses state-space methods and Legendre polynomials to achieve stable training and compact, low-power inference at the edge, outperforming models like Mamba and Transformers in specific tasks. The team highlights BrainChip's IP licensing model, their recent success in eye-tracking and speech recognition competitions, and the upcoming Akida 2.0 architecture which supports multi-bit resolution for richer algorithmic flexibility.

## Chapters

- [0:02](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=2) Introduction: BrainChip and the Akida Chip
- [2:03](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=123) BrainChip's IP Licensing Model and Business Strategy
- [3:46](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=226) Temporal Event-Based Neural Networks (TENN) and State-Space Methods
- [6:04](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=364) Long-Range Temporal Dependencies and Large Language Models
- [7:52](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=472) Legendre Polynomials and Physical Inductive Biases
- [10:14](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=614) Causality, Latency, and Online Inference
- [13:34](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=814) Sparse Activation and Hardware Efficiency
- [18:45](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=1125) Event-Based Hardware and Neural Processors
- [25:31](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=1531) Application Results: Eye Tracking, ASR, and Biomedical Use
- [29:02](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=1742) Akida 2.0 Architecture and Multi-Bit Resolution
- [33:26](https://hardwarepodcasts.com/podcast/ee-times-current/2025-02-07-brainchips-ip-for-targeting-ai-applications-at-the-edge#t=2006) Future of Neuromorphic Engineering and Abstraction Levels

## Topics

- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Embedded firmware](https://hardwarepodcasts.com/topic/embedded-firmware)
- [Microcontrollers & dev platforms](https://hardwarepodcasts.com/topic/microcontrollers-and-platforms)
- [Starting a product company](https://hardwarepodcasts.com/topic/starting-a-company)
- [Industrial & consumer product design](https://hardwarepodcasts.com/topic/industrial-design)

## Most relevant to

early-stage companies

## Mentioned

- BrainChip (company)
- Akida (product)
- Akida 2.0 (product)
- TENN (other)
- Mamba (other)
- NVIDIA (company)
- CVPR 2024 (other)

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