Easy Evaluation of EOS S3AI Platform and Time-Series AI Solution with Chilkat Hardware Development Kit
QuickLogic Corporation, a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, today announced the launch of its Chilkat EOS S3AI Hardware Development Kit (HDK) to enable fast development of Artificial Intelligence (AI) and Machine Learning (ML) applications at the endpoint.
The Chilkat HDK is an evaluation platform for QuickLogic’s EOS™ S3AI SoC. It includes continuous (time-series) sensors such as accelerometer, gyroscope, magnetometer, ambient light, barometer, temperature, and gas as well as digital microphone (PDM). The HDK links directly with the SensiML Data Analytics Toolkit (free 90-day evaluation period included) which enables a seamless flow from sensor data collection all the way through automatic feature extraction and classifier development using integrated machine learning technology. The SensiML Toolkit programs the AI model binary file into the EOS S3AI device on the Chilkat HDK. The HDK can be updated via the onboard UART connection to create demos and prototypes without additional time or resources. Users can also add more sensors to the HDK via available connectors and accompanying SDK. The Chilkat HDK kit also comes with a wrist worn form factor band for wearable application development.
“The new Chilkat EOS S3AI Hardware Development Kit supports quick and easy AI development for a variety of consumer and wearable endpoint IoT applications,” said Sam Massih, director of product management at QuickLogic. “Its many onboard sensors allow for an excellent starting point for new use-case development. Transparent integration of the EOS S3AI SoC with the SensiML Analytics Toolkit makes the Chilkat HDK ideal for developing sophisticated, ultra-low power AI-based products without large teams of data scientists and hardware and software engineers.”
QuickLogic develops low power, multi-core semiconductor platforms and Intellectual Property (IP) for Artificial Intelligence (AI), voice and sensor processing. The solutions include an embedded FPGA IP (eFPGA) for hardware acceleration and pre-processing, and heterogeneous multi-core SoCs that integrate eFPGA with other processors and peripherals. The Analytics Toolkit from the company’s wholly-owned subsidiary, SensiML completes the end-to-end solution with accurate sensor algorithms using AI technology. The full range of platforms, software tools and eFPGA IP enables the practical and efficient adoption of AI, voice and sensor processing across the multitude of mobile, wearable, hearable, consumer, industrial, edge and endpoint IoT applications.