

BrainChip’s IP for Targeting AI Applications at the Edge
Mar 9, 2025
Tony Lewis, the CTO of BrainChip, shares insights on groundbreaking neuromorphic technology. He discusses the strategic evolution of BrainChip's AI focus, emphasizing the innovative Temporal Event-Based Neural Networks that enhance efficiency. The conversation delves into the Akida chip's future iterations and its role in advanced AI applications, especially for autonomous driving. Additionally, the advantages of recurrent neural networks and event-based processing are explored, showcasing their potential in real-time prediction and parallel processing for cutting-edge neural applications.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 2min
From Research to Commercialization: Advancing AI at the Edge
01:31 • 2min
Harnessing Recurrent Neural Networks
03:15 • 4min
Leveraging Legendre Polynomials for Efficient AI Object Tracking
07:08 • 2min
Innovations in Temporal Processing with TENS
08:58 • 9min
Event-Based Processing and Neuromorphic Technology
17:57 • 15min
Innovating Neuromorphic Engineering: The Future of Brain Chips
32:47 • 4min
Neural Networks Unveiled: From Recurrent to Feedforward
37:08 • 9min