fbpx

Imagination and Apple Sign New Agreement

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 …

Imagination and Apple Sign New Agreement Read More +

imglogo2013

UNISOC and Imagination Carry Out Strategic Cooperation on AI Based on IMG Series3NX Neural Network Accelerator

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 …

UNISOC and Imagination Carry Out Strategic Cooperation on AI Based on IMG Series3NX Neural Network Accelerator Read More +

PowerVR-GPU-Slides6_678x452

Imagination Launches IMG A-Series: “The GPU of Everything”

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 +

Infographic-Smart-City

Cloud and Edge Vision Processing Options for Deep Learning Inference

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 …

Cloud and Edge Vision Processing Options for Deep Learning Inference Read More +

“Object Detection for Embedded Markets,” a Presentation from Imagination Technologies

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 …

“Object Detection for Embedded Markets,” a Presentation from Imagination Technologies Read More +

“Mining Site Data Extraction Using 3D Machine Learning,” a Presentation from Strayos

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 …

“Mining Site Data Extraction Using 3D Machine Learning,” a Presentation from Strayos Read More +

imglogo2013

PowerVR GPU and NNA Available On SiFive Platform

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 …

PowerVR GPU and NNA Available On SiFive Platform Read More +

Figure5

Combining an ISP and Vision Processor to Implement Computer Vision

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 …

Combining an ISP and Vision Processor to Implement Computer Vision Read More +

“Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques,” a Presentation from Imagination Technologies

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 …

“Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques,” a Presentation from Imagination Technologies Read More +

“Training CNNs for Efficient Inference,” a Presentation from Imagination Technologies

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 …

“Training CNNs for Efficient Inference,” a Presentation from Imagination Technologies Read More +

logo_2020

May 18 - 21, Santa Clara, California

The preeminent event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

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.

Contact

Address

1646 North California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top