Google launches Open Se Cura open source framework project, expected to bring low-power local AI capabilities to Pixel devices

According to news from this site on November 9th, Google recently launched an open source framework plan called Open Se Cura, with the purpose of accelerating the development of low-power mobile phones suitable for "small devices". Consume AI system. The framework includes a library of open source tools that it says can accelerate machine learning efforts through "collaborative design and development."

Google pointed out that the speed of contemporary hardware development lags behind the speed of machine learning model and software development, thus creating obstacles to the development of large-scale AI models. At present, consumer demand for small devices is growing rapidly, but running relevant models on small devices requires a large amount of power. Therefore, it is necessary to develop low-power AI systems for "small devices". The Open Se Cura plan currently launched by Google claims to be able to promote the collaboration between hardware designers and software developers, promote the concept of "hardware and software co-design", and

maximize the improvement from the perspective of the bottom layer of software and hardware. AI system device-side operating performance, and with this project, Google is expected to launch a small AI model suitable for Pixel devices, and use its own Tensor chip to achieve low-power operation of AI assistants on the device side.

This site noticed that thanks to the open source model adopted by the Open Se Cura plan, any interested developers in the industry can join the project to help improve development tools and provide more creative ideas.

Google claims that as Project Open Se Cura continues to develop, Google will seek more partners. Currently, Google is working with universities such as the University of Cambridge and the University of Michigan to promote the development of open source plans. Google claims that these universities are working on generating Research on AI power consumption has made certain achievements.

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