Removing licensing fees and accelerating SoC development for growing businesses London, England – 31st May 2022 – Imagination Technologies announces its Open Access program, offering access for early-stage companies to select class-leading GPU and AI accelerator IP without any licensing costs. This lowers the barriers of entry to SoC design, enabling scale-ups to create advanced […]
IMG Series4 NNA enables advanced AI-based software to efficiently upscale images and videos London, England – 17th May, 2022 – Imagination Technologies and Visidon Oy partner to power the transition to deep-learning-based super resolution for embedded applications across mobile, DTV and automotive markets. This AI-based technology allows users to upscale low-resolution images and videos up
Imagination and Visidon Partner for Deep-learning-based Super Resolution Technology Read More +
IMG BXS-Series ASIL-B capable GPUs adopted by Ambarella for CV3 Automotive SoC Family London, England – 25th April, 2022 – Imagination Technologies has entered into a comprehensive licensing agreement with Ambarella, enabling access to various IMG B-Series multi-core GPUs, including the ASIL-B certifiable IMG BXS GPUs for safety-critical applications. The IMG BXS GPU will be
Catapult CPUs are based on RISC-V ISA and designed for heterogeneous solutions London, England –6th December 2021 – Imagination Technologies announces Catapult, a RISC-V CPU product line designed from the ground-up for next-generation heterogeneous compute needs. Based on RISC-V, the open-source CPU architecture, which is transforming processor design, Imagination’s Catapult CPUs can be configured for
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Gilberto Rodriguez, Director of AI Product Management at Imagination Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Rodriguez demonstrates deploying hardware-accelerated long short-term memory (LSTM) neural networks on edge devices, using Imagination Technologies’ neural network acceleration (NNA) IP. Rodriguez shows how to unroll and
This blog post was originally published at Imagination Technologies’ and Visidon’s websites. It is reprinted here with the permission of Imagination Technologies and Visidon. This blog post is a result of a collaboration between Visidon, headquartered in Finland and Imagination, based in the UK. Visidon is recognised as an expert in algorithms for camera image
James Imber, Senior Research Engineer at Imagination Technologies, presents the “High-fidelity Conversion of Floating-point Networks for Low-precision Inference Using Distillation with Limited Data” tutorial at the May 2021 Embedded Vision Summit. When converting floating-point networks to low-precision equivalents for high-performance inference, the primary objective is to maximally compress the network whilst maintaining fidelity to the
Tim Mamtora leads IMG Labs division, a technology incubator for next-generation IP London, England; 25th March 2021 – Imagination Technologies announces IMG Labs, a specialist division tasked with developing breakthrough innovations fundamental to new, advanced semiconductor products. IMG Labs’ mission is to understand and accelerate future trends in the semiconductor industry, translating these into new
Imagination Launches IMG Labs to Create Breakthrough Technologies Read More +
New collaboration supports RISC-V ecosystem with world-class GPU performance London, England and Shanghai, China – 22nd February, 2021 – Imagination Technologies announces that StarFive, an industry-leading provider of RISC-V processors, platforms and solutions, has licensed the IMG B-Series graphics processing unit (GPU) IP to support the development of its latest RISC-V single-board computer (SBC). Imagination’s
Ana Salazar, Senior Research Manager at Imagination Technologies, presents the “Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification” tutorial at the September 2020 Embedded Vision Summit. This talk explores the challenges of deploying serial computer vision tasks implemented with DNNs. Neural network accelerators have demonstrated significant gains in
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