Innatera shows RISC-V neuromorphic edge AI microcontroller
By Nick Flaherty (eeNews Europe)
January 15, 2024
Dutch chip startup Innatera has shown its neuromorphic microcontroller for edge AI sensor applications based on the RISC-V open instruction set architecture.
The Spiking Neural Processor T1 is aimed at low power edge AI sensor applications running both neuromorphic and traditional deep neural network AI models.
nnatera says the chip can deliver energy savings of up to 500x with 100x shorter latency across a range of applications compared to a traditional CPU, DSP or conventional AI accelerator. It has shown demonstrations of radar and audio applications.
To read the full article, click here
Related Semiconductor IP
- MIPI I3C Master RISC-V based subsystem
- ISO26262 ASIL-B/D Compliant 32-bit RISC-V Core
- RISC-V CPU IP
- RISC-V Vector Extension
- RISC-V Real-time Processor
Related News
- Innatera unveils its groundbreaking ultra-low power neuromorphic microcontroller
- Innatera Productizes SNN Accelerator As "Neuromorphic Microcontroller"
- Arteris and MIPS Partner on High-Performance RISC-V SoCs for Automotive, Datacenter and Edge AI
- Innatera raises EUR 5M to bring neuromorphic intelligence to the sensor-edge
Latest News
- Will RISC-V reduce auto MCU’s future risk?
- Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications
- Continuous-Variable Quantum Key Distribution (CV-QKD) system demonstration
- Latest intoPIX JPEG XS Codec Powers FOR-A’s FA-1616 for Efficient IP Production at NAB 2025
- VeriSilicon Launches ISP9000: The Next-Generation AI-Embedded ISP for Intelligent Vision Applications