Intended for consumer, healthcare, IoT, defence and wake-up applications the Akida Pico can accelerate limited use case-specific neural network models to create an ultra-energy efficient, purely digital architecture. The processor enables secure personalisation for a variety of applications such as voice wake detection, keyword spotting, speech noise reduction, audio enhancement and wearable AI.
The processor is built on the company’s Akida2 event-based computing platform configuration engine, which can execute with power suitable for battery-powered operation of less than a single milliwatt.
The Akida Pico provides a power-efficient footprint for waking up microcontrollers or larger system processors, with a neural network to filter out false alarms to preserve power consumption until an event is detected and so is suited for sensor hubs or systems that need to be monitored continuously using only battery power with occasional need for additional processing from a host.
BrainChip’s MetaTF software flow enables developers to compile and optimise their specific Temporal-Enabled Neural Networks (TENNs) on the Akida Pico. With MetaTF’s support for models created with TensorFlow/Keras and Pytorch, users can avoid having to learn a new machine language framework while rapidly developing and deploying AI applications for the Edge.
“Like all of our Edge AI enablement platforms, the Akida Pico was developed to further push the limits of AI on-chip compute with low latency and low power required of neural applications,” said Sean Hehir, CEO at BrainChip. “Whether you have limited AI expertise or are an expert at developing AI models and applications, the Akida Pico and the Akida Development Platform provides users with the ability to create, train and test the most power and memory efficient temporal-event based neural networks quicker and more reliably.”
Akida is an event-based compute platform intended for early detection, low-latency solutions without massive compute resources for robotics, drones, automotive and traditional sense-detect-classify-track solutions.
BrainChip can provide a range of software, hardware and IP products that can be integrated into existing and future designs, with a roadmap for customers to deploy multi-modal AI models at the edge.
