


IT House News on November 9th, Google recently launched an open source framework project called Open Se Cura, with the purpose of accelerating the development of low-power AI systems suitable for "small devices." 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 models 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 project currently launched by Google claims to be able to promote collaboration between hardware designers and software developers, promote the concept of "hardware and software co-design", and maximize the device-side operating performance of AI systems from the perspective of the underlying software and hardware. , and with this project, Google is expected to launch a small AI model suitable for Pixel devices, and use its own Tensor chip to enable low-power running of AI assistants on the device side.
IT House 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 developing generative AI functions. Research on consumption has made certain achievements.
The above is the detailed content of Google launches Open Se Cura open source project, expected to bring low-power local AI capabilities. For more information, please follow other related articles on the PHP Chinese website!

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