Intel Will Soon Release Computer Vision Software To Help Advance Artificial Intelligence

Intel reportedly intends to launch a software platform that would simplify and accelerate the training of AI models for computer vision.

It was said that the semiconductor giant is developing computer vision software, among others, in hopes of boosting chip sales by generating software income and becoming a greater player in the AI market.

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New Software That Would Simplify the Training of AI Models for Computer Vision

According to The Register, citing internal company documents, Intel plans to sell Sonoma Creek software as a subscription or license starting this fall as part of a revitalized push by the x86 giant to boost chip sales with a growing collection of commercial software products. Sonoma Creek is also seen as a method for Intel to increase the use of its open OpenVINO software toolkit for AI inference work.

Sonoma Creek, according to the chipmaker, will assist a variety of sectors. Computers can monitor assembly lines and look for faults in manufacturing, and computers can discover anomalies in medical imaging in healthcare. Smart agriculture, smart cities, retail, and video safety are among the other businesses mentioned.

Sonoma Creek's Operation

The Register said that data collection, data labeling, model selection and training, model optimization, and deployment are the five processes of AI model training that are believed to be dispersed over several services in Sonoma Creek's "single workflow."

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This is how the software works:

First, Sonoma Creek will begin training computer vision models with as few as 10 to 20 photos or a video, utilizing the PyTorch and TensorFlow frameworks.

Second, users could then use "smart assistants" to annotate the data, which helps Sonoma Creek learn and enhance the model's accuracy.

Third, Sonoma Creek will automatically train the model and provide predictions once enough data has been annotated, which users can approve or alter to improve the model's accuracy.

Fourth, users can either utilize the model's original framework for inferencing or use "Intel's OpenVINO toolkit, which optimizes the model for a variety of Intel hardware, including CPUs and GPUs."

Fifth, if a model is inaccurate, users can update it by adding new photos and identifying them before re-exporting the model. "Active learning" is the term for this constant model improvement process.

Sonoma Creek Is Said To Be Compatible With Both Intel and Nvidia Processors

As per PCMag, Sonoma Creek is said to be compatible with Intel CPUs and Nvidia graphics cards (with plans to support Intel's forthcoming Arc graphics cards), as well as the company's OpenVino toolkit and the prominent machine learning frameworks PyTorch and TensorFlow.

Intel's AI and Software Strategies Will Be Bolstered by Sonoma Creek

Intel is developing Sonoma Creek in hopes of boosting chip sales by generating software income and becoming a greater player in the AI market.

Intel is growing its portfolio of specialty chips, which will eventually include new discrete GPUs that the company hopes to ship for servers later this year while also incorporating new AI features into its CPUs.

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