London, UK; 2nd January 2020 – Imagination Technologies (“Imagination”) announces that it has replaced the multi-year, multi-use license agreement with Apple, first announced on February 6, 2014, with a new multi-year license agreement under which Apple has access to a wider range of Imagination’s intellectual property in exchange for license fees. About Imagination Technologies Imagination is a […]
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LONDON, UK and Beijing, China; 3rd December 2019 – Imagination Technologies announces that UNISOC, a leading fabless semiconductor company, has licenced its latest generation of neural network accelerator (NNA), IMG Series3NX for use in future system-on-chips (SoCs) targeting mid-high range mobile devices, TV and other markets. UNISOC previously integrated Imagination’s Series2NX AI core into its
The fastest GPU IP ever Shanghai, China; 3rd December 2019 – Imagination Technologies announces the tenth generation of its PowerVR graphics architecture, the IMG A-Series. The fastest GPU IP ever released, IMG A-Series evolves the PowerVR GPU architecture to fulfil the graphics and compute needs of the full spectrum of next-generation devices. Designed to be
Imagination Launches IMG A-Series: “The GPU of Everything” Read More +
Should deep learning-based computer vision processing take place in the cloud, at the edge, or both? This seemingly simple question has a complicated answer: "it depends." This article provides perspectives on the various factors you should consider, and with what priorities, when making this implementation decision for your particular project's requirements. THe Edge-Centric Inference Evolution
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Paul Brasnett, PowerVR Business Development Director for Vision and AI at Imagination Technologies, presents the “Object Detection for Embedded Markets” tutorial at the May 2019 Embedded Vision Summit. While image classification was the breakthrough use case for deep learning-based computer vision, today it has a limited number of real-world applications. In contrast, object detection is
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Ravi Sahu, Founder and CEO of Strayos, presents the "Mining Site Data Extraction Using 3D Machine Learning" tutorial at the May 2019 Embedded Vision Summit. This talk focuses on extracting invariant features for segmentation of 3D models of mining sites. The image data is generated by stitching together geo-tagged images from a drone. The 3D
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Imagination Technologies joins SiFive’s DesignShare Ecosystem, Enabling RISC-V users to access industry-leading IP London, UK; and San Mateo, California; 13th May 2019 – Imagination Technologies announces that it has joined SiFive’s DesignShare ecosystem, giving system designers easy access to its industry-leading PowerVR GPU and neural network accelerator (NNA) IP cores. The PowerVR GPU will be
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An ISP (image signal processor) in combination with one or several vision processors can collaboratively deliver more robust computer vision processing capabilities than vision processing is capable of providing standalone. However, an ISP operating in a computer vision-optimized configuration may differ from one functioning under the historical assumption that its outputs would be intended for
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Paul Brasnett, Senior Research Manager for Vision and AI in the PowerVR Division at Imagination Technologies, presents the “Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques” tutorial at the May 2018 Embedded Vision Summit. There has been a very significant shift in the computer vision industry over the past few years, from traditional
Paul Brasnett, Principal Research Engineer at Imagination Technologies, presents the "Training CNNs for Efficient Inference" tutorial at the May 2017 Embedded Vision Summit. Key challenges to the successful deployment of CNNs in embedded markets are in addressing the compute, bandwidth and power requirements. Typically, for mobile devices, the problem lies in the inference, since the
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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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