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
- RISC-V CPU IP
- RISC-V Vector Extension
- RISC-V Real-time Processor
- RISC-V High Performance Processor
- 32b/64b RISC-V 5-stage, scalar, in-order, Application Processor. Linux and multi-core capable. Maps upto ARM A-35. Optimal PPA.
Related News
- Innatera unveils its groundbreaking ultra-low power neuromorphic microcontroller
- Innatera Productizes SNN Accelerator As "Neuromorphic Microcontroller"
- X-Silicon Introduces the World's First Vulkan Driver Implementation for RISC-V, Enabling an entire Ecosystem of 3D Graphics, AI and Compute for Low-Power, Mobile, Edge and IOT Devices
- Arteris and MIPS Partner on High-Performance RISC-V SoCs for Automotive, Datacenter and Edge AI
Latest News
- RaiderChip NPU for LLM at the Edge supports DeepSeek-R1 reasoning models
- The world’s first open source security chip hits production with Google
- ZeroPoint Technologies Unveils Groundbreaking Compression Solution to Increase Foundational Model Addressable Memory by 50%
- Breker RISC-V SystemVIP Deployed across 15 Commercial RISC-V Projects for Advanced Core and SoC Verification
- AheadComputing Raises $21.5M Seed Round and Introduces Breakthrough Microprocessor Architecture Designed for Next Era of General-Purpose Computing