The Spiking Neural Processor T1 from Innatera is a groundbreaking microcontroller optimized for ultra-low power always-on sensing applications. Integrating a RISC-V core with an SNN-based processing engine, the T1 operates at sub-milliwatt power levels, enabling advanced signal processing and AI capabilities close to the sensor. This microcontroller effectively offloads sensor data processing, allowing for rapid pattern recognition and efficient power usage in latency-sensitive and power-constrained devices.
Key among its features is a nimble 32-bit RISC-V core, supported by 384 KB of embedded SRAM. The innovative spiking neural network engine allows for the real-time inference of complex patterns, mirroring brain-like behavior in processing tasks while keeping power dissipation minimal. Its capabilities facilitate applications such as activity recognition in wearables and high-accuracy signal processing in acoustic sensors.
The T1 is packaged in a compact WLCSP form factor and supports diverse interfaces including QSPI, I2C, UART, JTAG, and GPIO, making it adaptable to various sensor configurations. Additionally, developers can leverage the T1 Evaluation Kit and Talamo SDK, which provide a robust platform for developing and optimizing applications harnessing the T1’s unique processing strengths.
