Innatera is excited to unveil its groundbreaking neuromorphic microcontroller, the Spiking Neural Processor T1, at CES 2024. This launch signifies a major advancement in energy-efficient AI for sensor-edge applications.
During CES 2024, Innatera will demonstrate the capabilities of the Spiking Neural Processor T1, showcasing live demonstrations of radar and audio applications developed by its partners.
The Spiking Neural Processor represents a cutting-edge neuromorphic processing technology, designed to emulate the brain’s method of processing sensory data. It employs a novel analogue-mixed signal computing architecture specifically developed to implement spiking neural networks (SNNs). SNNs are a distinct type of event-driven neural networks, exceptionally effective for pattern recognition and signal processing in time-series data with noise.
The T1 system-on-chip is poised to transform sensor data processing at the edge, ushering in new possibilities for wearables, smart home devices, and IoT applications. Its ultra-efficient, event-driven processing allows for significant power-performance improvements in always-on sensing scenarios. At the core of the T1 is Innatera’s innovative analogue-mixed signal neuromorphic computing technology, complemented by a versatile RISC-V processor and support for accelerating conventional CNN models.
Accompanying the Spiking Neural Processor is the powerful software development kit, Talamo. Seamlessly integrated with the industry-standard PyTorch framework, Talamo offers a comprehensive platform for developing and deploying spiking neural network applications, making it an essential resource for developers keen to explore neuromorphic processing.
Sumeet Kumar, CEO at Innatera, remarked, “Neuromorphic computing has arrived and is set to redefine intelligence at the sensor-edge. We are thrilled to present the Spiking Neural Processor and announce the pre-production trial availability of the T1.” T1 evaluation kits are currently available through Innatera’s early access program, with mass production scheduled for later in the year.
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