QuickLogic Corporation announced the launch of its EOS S3AI platform for endpoint Artificial Intelligence (AI) and Machine Learning (ML) applications.
The new AI platform provides all the hardware blocks needed to enable low power AI at the IoT endpoint and includes seamless hooks to the SensiML Analytics Toolkit for sensor applications requiring time series (continuous) data analysis. This platform approach speeds system-level design and implementation, improves bandwidth, power, latency and security while reducing many of the costly and time-consuming resources necessary to deploy AI-based IoT solutions. The EOS S3AI platform solution is ideal for endpoint applications, such as predictive maintenance, structural health monitoring, context awareness for wearables, and manufacturing process control.
This single-chip solution utilizes the SensiML Analytics Toolkit to efficiently identify which complex feature extraction algorithms are ideal for the labeled data sets and generates the AI models and classifiers using machine learning techniques for code development. The AI model that is subsequently generated is uniquely optimized to fit in the EOS S3AI hardware blocks (eFPGA, uDSP and M4) and are programmed effortlessly by the SensiML Toolkit. This tight integration of hardware and software ensures that the AI algorithms created with the toolkit are optimized for the EOS S3AI platform, enabling low power and efficient endpoint processing with the help of hard accelerators and eFPGA feature extraction algorithms.
The EOS S3AI platform allows the OEM to lower system and operating costs and improve reliability by eliminating the need for continuous high-bandwidth connectivity. Because the platform enables AI endpoint solutions to be developed easily and quickly with minimal data science and firmware engineering resources, endpoint application customers will benefit from lower product development costs while gaining valuable time-to-market advantages.
The EOS S3AI platform and the SensiML Analytics Toolkit are available now.