Podcast: BrainChip’s IP for Targeting AI Applications at the Edge
Tony Lewis, CTO for BrainChip, and four other key scientists talk to Sunny Bains of the University College London. They discuss their business strategy, their temporal event-based neural network (TENN), and the next iteration of the Akida chip. Discussion follows with Giulia D’Angelo from the Czech Technical University in Prague and Ralph Etienne-Cummings of Johns Hopkins University.
To read the full article, click here
Related Semiconductor IP
- AI IP Core
- High-Performance Memory Expansion IP for AI Accelerators
- High-performance AI dataflow processor with scalable vector compute capabilities
- Neural engine IP - AI Inference for the Highest Performing Systems
- Multi-channel, multi-rate Ethernet aggregator - 10G to 400G AX (e.g., AI)
Related Videos
- Ask the Expert: HBM4 Controller IP
- Ask the Experts: AI at the Edge
- Scaling Performance In AI Systems
- Synopsys 800G MAC, PCS and PHY IP Interop with Switches and Optical Links at ECOC '24