The collaboration will integrate Google’s MLIR-compliant ML core on the Synaptics Astra hardware with open-source software and tools.
The combination will accelerate the development of AI devices for the IoT that support the processing of vision, image, voice, sound, and other modalities that provide context for seamless interactivity in applications such as wearables, appliances, entertainment, embedded hubs, monitoring, and control across consumer, automotive, enterprise, and industrial systems.
The Synaptics Astra AI-Native compute platform for the IoT combines scalable, low-power compute silicon for the device Edge with open-source, easy-to-use software and tools, a strong partner ecosystem, and wireless connectivity.
The platform builds upon Synaptics’ foundation in neural networks, field-hardened AI hardware and compiler design expertise for the IoT, and refined, in-house support of a broad base of modalities. Google’s ML core is a highly efficient open-source machine learning (ML) core that is compliant with the multi-level intermediate representation (MLIR) compiler.
“We are on the brink of a transformative era in Edge AI devices, where innovation in hardware and software is unlocking context-aware computing experiences that redefine user engagement,” says Synaptics svp Vikram Gupta.
