Synaptics partners with Google for multi-modal edge AI for IoT
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A partnership between technology giant Google and interface specialist Synaptics Inc. will integrate Google’s machine learning technology with Synaptics’ Astra AI hardware and open-source software.
The goal is to develop multi-modal context-aware devices able to perform edge AI for IoT, Synaptics said.
Google’s ‘ML Core’ refers to the foundational machine learning (ML) technologies and frameworks developed by Google and include:
- TensorFlow framework
- Tensor Processing Unit (TPU) ASICs
- Google cloud AI platform
- ML kit: an SDK for building applications under Android and iOS.
The Synaptics-Google combination will be multi-modal, supporting vision, image, voice, sound, and other modalities that provide context for applications such as wearables, appliances, entertainment, embedded hubs, monitoring, and control across consumer, automotive, enterprise, and industrial systems.
“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,” said Vikram Gupta, chief product officer at Synaptics, in a statement.
“Synaptics’ embrace of open software and tools and proven AI hardware makes the Astra portfolio a natural fit for our ML core as we ramp to meet the uniquely challenging power, performance, cost, and space requirements of Edge AI devices,’ said Billy Rutledge, director of systems research at Google Research, in the same statement.
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