…Computer Vision 01 Your phone can take higher resolution images than what your models can run. Analyzing high-res images on traditional solutions requires expert workarounds (e.g., down-sampling and tiling). 02…

…convolutional neural networks and have triggered an interesting research direction for computer vision models where the model backbone is (mostly) convolution-free. In this computer vision revolution, new variations and innovations…

…a high-resolution image will contain more information and detail than a low-resolution image of the very same subject. Today, higher-resolution image processing requires significant computational capabilities. So much so, in…

AI Drives Industry 4.0 From connectivity and analytics to human-machine interactions and advanced engineering, in the pre-COVID-19 world, Industry 4.0 was making great strides in accelerating the digital transformation efforts…

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…initiatives. RECOMMENDATION SYSTEMS Improve the accuracy of your predictions to deliver more personalized, meaningful information and content to your end-users. HIGH-RES COMPUTER VISION In machine learning image processing and analysis—resolution…

…large, high-resolution images to identify subtle features. Providing much larger on-chip and off-chip memory stores than those that are available on core-based architectures will accelerate DL innovation. Efficient processing of…

Four Seasons Silicon Valley January 26, 2022 Nominations are open for the 2022 VISIONAIRES Awards Do you know an AI visionary? Or, as we like to call it At SambaNova,…

…driving a revolution in personalized medicine but requires levels of AI compute power that go beyond the limitations of traditional technologies. Many computer vision use cases in healthcare and life…

…information. This work is only a sneak peek at what is possible with high-resolution image training. Acknowledgements: This research used resources of the Argonne Leadership Computing Facility, which is a…