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
- 64 bit RISC-V Multicore Processor with 2048-bit VLEN and AMM
- RISC-V AI Acceleration Platform - Scalable, standards-aligned soft chiplet IP
- 32 bit RISC-V Multicore Processor with 256-bit VLEN and AMM
- All-In-One RISC-V NPU
- ISO26262 ASIL-B/D Compliant 32-bit RISC-V Core
Related News
- Innatera unveils Pulsar: The world’s first mass-market neuromorphic microcontroller for the sensor edge
- Innatera unveils its groundbreaking ultra-low power neuromorphic microcontroller
- Innatera Productizes SNN Accelerator As "Neuromorphic Microcontroller"
- Semidynamics Announces Cervell™ All-in-One RISC-V NPU Delivering Scalable AI Compute for Edge and Datacenter Applications
Latest News
- CAST Releases First Dual LZ4 and Snappy Lossless Data Compression IP Core
- Arteris Wins “AI Engineering Innovation Award” at the 2025 AI Breakthrough Awards
- SEMI Forecasts 69% Growth in Advanced Chipmaking Capacity Through 2028 Due to AI
- eMemory’s NeoFuse OTP Qualifies on TSMC’s N3P Process, Enabling Secure Memory for Advanced AI and HPC Chips
- AIREV and Tenstorrent Unite to Launch Advanced Agentic AI Stack