…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…

…reach $11 billion by 2025.1Analytics Insight: AI in the Manufacturing Sector to Reach US $11 Billion by 2025 2 Capgemini Research Institute: Scaling AI in Manufacturing Operations: A Practitioners’ Perspective…

…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…

…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 sciences,…

…with total confidence. From Zero to State-of-the-Art Overnight Save 12-18 months of time and get up and running quickly with fully managed, expert application services. Natural Language Processing High-Res Computer…

To truly harness the scope and opportunities unfolding from this new paradigm of AI, IoT/ Edge, and Data, innovative new architectures that can meet the demands of high performance computing…

…AI. We’re answering questions around how higher resolution computer vision can be used to improve diagnostics, how we can improve NLP models to personalize communications, and even addressing what “Netflix”—more…

…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…