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
- Axiomise Partners With Bluespec to Verify Its RISC-V Cores
- Rapidus Achieves Significant Milestone at its State-of-the-Art Foundry with Prototyping of Leading-Edge 2nm GAA Transistors
- SEMIFIVE Files for Pre-IPO Review on KRX
- Innosilicon Scales LPDDR5X/5/4X/4 and DDR5/4 Combo IPs to 28nm and 22nm, Cementing Its Position as the ‘One Stop’ for Memory Interface Solutions
- Synopsys Completes Acquisition of Ansys