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Arm

www.arm.com

Arm designs the technology that is at the heart of advanced digital products, from wireless, networking and consumer entertainment solutions to imaging, automotive, security and storage devices. Arm’s comprehensive product offering includes RISC microprocessors, graphics processors, video engines, enabling software, cell libraries, embedded memories, high-speed connectivity products, peripherals and development tools. Combined with comprehensive design services, training, support and maintenance, and the company’s broad Partner community, they provide a total system solution that offers a fast, reliable path to market for leading electronics companies.

Recent Content by Company

Arm Transforms the Economics of IoT with Virtual Hardware and a New Solutions-led Offering

News Highlights: Arm Total Solutions for IoT delivers a full stack solution to significantly accelerate IoT product development and improve product ROI Arm Virtual Hardware removes the need to develop on physical silicon, enabling software and hardware co-design and accelerating product design by up to two years A new Arm ecosystem initiative called Project Centauri …

Arm Transforms the Economics of IoT with Virtual Hardware and a New Solutions-led Offering Read More +

New Arm Technologies to Transform the Software-defined Future For the Automotive Industry

News Highlights: Arm is delivering critical resources to accelerate the automotive industry’s software-defined future with support from leading industry players including AWS, Continental, CARIAD and more SOAFEE, a new software architecture and open-source reference implementation, brings the real-time and safety needs of automotive together with the advantages of a cloud-native approach Two new reference hardware …

New Arm Technologies to Transform the Software-defined Future For the Automotive Industry Read More +

“Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge,” a Presentation from Arm

Tim Hartley, Vice President of Product and Marketing at SeeChange Technologies (an Arm company), presents the “Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge” tutorial at the May 2021 Embedded Vision Summit. Neural networks are being used to solve an ever-increasing number of… “Automated Neural Network Model Training: …

“Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge,” a Presentation from Arm Read More +

“IoT and Vision: Why It’s a Security Minefield and How to Navigate It,” a Presentation from Arm

Dr. Lyndon Fawcett, Principal Software Security Architect at Arm, presents the “IoT and Vision: Why It’s a Security Minefield and How to Navigate It” tutorial at the May 2021 Embedded Vision Summit. Recent advancements in machine learning have enabled market innovators to build insights from IoT sensors in the wild.… “IoT and Vision: Why It’s …

“IoT and Vision: Why It’s a Security Minefield and How to Navigate It,” a Presentation from Arm Read More +

“Robust Object Detection Under Dataset Shifts,” a Presentation from Arm

Partha Maji, Principal Research Scientist at Arm’s Machine Learning Research Lab, presents the “Robust Object Detection Under Dataset Shifts” tutorial at the May 2021 Embedded Vision Summit. In image classification tasks, the evaluation of models’ robustness to increased dataset shifts with a probabilistic framework is very well studied. However, object… “Robust Object Detection Under Dataset …

“Robust Object Detection Under Dataset Shifts,” a Presentation from Arm Read More +

“Software-Defined Cameras for Edge Computing of the Future,” a Presentation from Arm

Parag Beeraka, Head of the Smart Camera and Vision Business at Arm, presents the “Software-Defined Cameras for Edge Computing of the Future,” tutorial at the May 2021 Embedded Vision Summit. Computer-vision-enabled cameras have demonstrated the potential to bring compelling functionality to numerous applications. But to realize the full potential and… “Software-Defined Cameras for Edge Computing …

“Software-Defined Cameras for Edge Computing of the Future,” a Presentation from Arm Read More +

Upcoming Tech Talk Discusses Bringing Edge AI to Life

On July 13, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP Semiconductors will deliver the free tech talk “Bringing Edge AI to Life – from Concept to Production”, in collaboration with Arcturus and in partnership with fellow Alliance Member company Arm. From the event page: Often the first step in developing …

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Arm Empowers MCU Software Developers to Capitalize on IoT Potential

News highlights: Arm announces two new initiatives to provide a step change in productivity for embedded, IoT, ML, and MCU software developers The Open-CMSIS-Pack project will deliver the infrastructure to integrate and manage software components and improve code reuse across projects Keil Studio Cloud provides a cloud-hosted platform with direct Git integration and modern CI …

Arm Empowers MCU Software Developers to Capitalize on IoT Potential Read More +

SEMIFIVE Collaborates with Arm to Accelerate its Custom SoC Designs

Cambridge, UK – 19 May, 2021 – Arm today announced that SEMIFIVE, a leading silicon design solutions provider, has joined the Arm ecosystem to accelerate the deployment of application-optimized custom SoC designs built on Arm technology. Through this collaboration with Arm, SEMIFIVE will have access to a broad range of Arm IP, including Cortex®-A, Cortex-R …

SEMIFIVE Collaborates with Arm to Accelerate its Custom SoC Designs Read More +

Arm Total Compute Solutions Bring Performance, Security and Armv9 to the Broadest Range of Client Devices

News Highlights: Arm Total Compute solutions based on the new Armv9 architecture to advance core CPU, GPU and system IP to deliver performance and efficiency at the system level First Armv9 Cortex CPUs built for premium performance and efficiency Highest performing range of Mali GPUs powering high-quality visual experiences for consumer devices New CoreLink Interconnect …

Arm Total Compute Solutions Bring Performance, Security and Armv9 to the Broadest Range of Client Devices Read More +

Arm Partners are Shipping More Than 900 Arm-based Chips Per Second Based on Latest Results

May 20, 2021 – Arm’s silicon partners shipped a record 7.3 billion Arm-based chips (up 22% y-o-y) in the last calendar quarter of 2020, equating to more than 900 chips per second and 70 millon chips a day. Arm partners also shipped a total of 25 billion Arm-based chips in 2020 (up 13% y-o-y), bringing …

Arm Partners are Shipping More Than 900 Arm-based Chips Per Second Based on Latest Results Read More +

Transforming Compute for Next-generation Infrastructure

News Highlights: The Arm Neoverse V1 platform is first in a new computing tier for Arm, and the first-ever Arm designed core to support Scalable Vector Extension (SVE), delivering 50% more performance for demanding HPC and ML workloads The Arm Neoverse N2 platform is the first based on Armv9, delivering 40% more performance for diverse …

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With a Next-Generation Architecture, Arm is Building for the Next Decade of Processing

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Arm, the architecture IP that dominates chip unit volume across the computing spectrum, recently announced the introduction of Arm v9 architecture.  Arm v9 “is the first new Arm architecture in a decade, building on …

With a Next-Generation Architecture, Arm is Building for the Next Decade of Processing Read More +

Arm’s Solution to the Future Needs of AI, Security and Specialized Computing is v9

News highlights: The new Armv9 architecture will form the leading edge of the next 300 billion Arm-based chips Advances specialized processing built on the economics, design freedom and accessibility advantages of general-purpose compute Delivers greater performance, enhanced security and DSP and ML capabilities Cambridge, UK, March 30, 2021 – Today, Arm introduced the Arm®v9 architecture …

Arm’s Solution to the Future Needs of AI, Security and Specialized Computing is v9 Read More +

The Arm Ecosystem Ships a Record 6.7 Billion Arm-based Chips in a Single Quarter

In the fourth quarter of 2020 (Arm FY Q320): Arm reported its silicon partners shipped in the prior quarter a record 6.7 billion Arm-based chips, which equates to ~842 chips shipped per second. To-date, Arm partners have shipped more than 180 billion Arm-based chips Arm continues to be the leading architecture for IoT and embedded …

The Arm Ecosystem Ships a Record 6.7 Billion Arm-based Chips in a Single Quarter Read More +

Arm’s Powerful Compute and Graphics Platform at the Heart of the New Samsung Exynos 2100

News highlights: Arm’s next-generation mobile solution is powering the new Samsung Exynos 2100 SoC, an early adopter of the new Arm Cortex-X1 CPU in a tri-cluster, octa-core configuration, and optimized for 5nm Delivering over 30% multi-tasking performance improvement and exceptional battery life to take premium smartphone experiences to the next level Partnership highlights technology innovation …

Arm’s Powerful Compute and Graphics Platform at the Heart of the New Samsung Exynos 2100 Read More +

“Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?,” a Presentation from Arm

Tim Hartley, Director of Product and Marketing at Arm, presents the “Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?” tutorial at the September 2020 Embedded Vision Summit. The benefits of running machine learning at the edge are widely accepted, and today’s low-power edge devices are already showing …

“Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?,” a Presentation from Arm Read More +

Telechips Selects the Latest Arm IP for Its Next-generation Automotive SoC

News highlights: The new Telechips Dolphin5 automotive SoC is based on an Arm heterogeneous compute solution comprised of CPU, GPU and NPU IP Telechips joins Arm Flexible Access program which includes access to several Arm IP safety packages Cambridge, UK – December 14, 2020 – Arm today announced that Telechips, a leading global fabless semiconductor …

Telechips Selects the Latest Arm IP for Its Next-generation Automotive SoC Read More +

Latest NPU Adds to Arm’s AI Platform Performance, Applicability, and Efficiency

News Highlights: Adding to the success of Arm’s microNPU product line, Arm Ethos-U65 maintains the power efficiency of the Ethos-U55, while extending its applicability to Arm Cortex-A- and Arm Neoverse-based systems Continued support for existing software and toolchains to provide a single, unified developer experience Expanded technology partnership with NXP to deliver energy-efficient, cost-effective AI …

Latest NPU Adds to Arm’s AI Platform Performance, Applicability, and Efficiency Read More +

New Arm Technologies Enable Safety-capable Computing Solutions for an Autonomous Future

News Highlights: New solutions offer a step change in compute for autonomous systems in automotive and industrial automation, which Arm believes will be an $8 billion silicon opportunity in 2030 Designed with safety first: Arm Cortex-A78AE is Arm’s highest performance CPU with safety, Arm Mali-G78AE is Arm’s first safety capable GPU, and Arm Mali-C71AE enables …

New Arm Technologies Enable Safety-capable Computing Solutions for an Autonomous Future Read More +

SLAMcore joins Arm AI Partner Programme

UK AI pioneer demonstrates ‘Full-Stack’ SLAM on Arm-based processors at Embedded Vision Summit London, UK. 15th September 2020. SLAMcore, a leader in Visual SLAM and Spatial AI systems essential for autonomous robot navigation, today announced that it has joined the Arm AI Partner Programme. As a key player behind the explosion in on-device AI, Arm plays a …

SLAMcore joins Arm AI Partner Programme Read More +

NVIDIA to Acquire Arm for $40 Billion, Creating World’s Premier Computing Company for the Age of AI

News Highlights: Unites NVIDIA’s leadership in artificial intelligence with Arm’s vast computing ecosystem to drive innovation for all customers NVIDIA will expand Arm’s R&D presence in Cambridge, UK, by establishing a world-class AI research and education center, and building an Arm/NVIDIA-powered AI supercomputer for groundbreaking research NVIDIA will continue Arm’s open-licensing model and customer neutrality …

NVIDIA to Acquire Arm for $40 Billion, Creating World’s Premier Computing Company for the Age of AI Read More +

Arm Intends to Strengthen Focus on Core Semiconductor IP Business Growth

July 07, 2020 – Today, Arm announced proposed strategic organizational changes to strengthen its focus on growth and profitability. The company is proposing to transfer its two IoT Services Group (ISG) businesses, IoT Platform and Treasure Data, to new entities that would be owned and operated by SoftBank Group Corp. and its affiliates. Upon completion …

Arm Intends to Strengthen Focus on Core Semiconductor IP Business Growth Read More +

New Arm IP Delivers True Digital Immersion For the 5G Era

News Highlights: Arm Cortex-A78 CPU: Transforming next-generation smartphone experiences with 20% sustained performance gains Arm Cortex-X Custom program: New program offers custom Cortex solutions and delivers the Arm Cortex-X1 with a 30% increase in peak performance Arm Mali-G78 GPU: The highest-performing Mali GPU based on Valhall architecture with a 25% increase in performance Arm Ethos-N78 NPU: …

New Arm IP Delivers True Digital Immersion For the 5G Era Read More +

Arm Offers Silicon Startups Zero-cost Access to the World’s Most Widely Used Chip Designs

News highlights: Arm Flexible Access for Startups offers no-cost access to world’s most trusted IP portfolio, tools, training and full support for early-experimentation, design and prototype silicon New program, combined with the Arm ecosystem, lowers risk and could accelerate time-to-market by 6-12 months Arm partners with Silicon Catalyst, a specialist incubator for silicon startups April …

Arm Offers Silicon Startups Zero-cost Access to the World’s Most Widely Used Chip Designs Read More +

New AI Technology from Arm Delivers Unprecedented On-device Intelligence for IoT

Arm launches industry’s first microNPU for Cortex-M combined with newest Cortex-M processor to securely deliver up to a 480x uplift in ML performance New IP will enable AI everywhere on billions of next-generation smaller, power-constrained devices with greater on-device ML processing Software development flow specifically optimized for developer productivity and maximizing ML performance across all …

New AI Technology from Arm Delivers Unprecedented On-device Intelligence for IoT Read More +

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New Arm IP Brings Intelligent, Immersive Experiences to Mainstream Markets

News Highlights: Arm Ethos-N57 and Ethos-N37 NPUs; extending the range of Arm Machine Learning (ML) processors to enable Artificial Intelligence (AI) applications in mainstream devices Arm Mali-G57 GPU; the first mainstream Valhall architecture-based GPU delivering 1.3x better performance over previous generations Arm Mali-D37 DPU; delivering a rich display feature set within the smallest area for …

New Arm IP Brings Intelligent, Immersive Experiences to Mainstream Markets Read More +

“Performance Analysis for Optimizing Embedded Deep Learning Inference Software,” a Presentation from Arm

Gian Marco Iodice, Staff Compute Performance Software Engineer at Arm, presents the "Performance Analysis for Optimizing Embedded Deep Learning Inference Software" tutorial at the May 2019 Embedded Vision Summit. Deep learning on embedded devices is currently enjoying significant success in a number of vision applications—particularly smartphones, where increasingly prevalent AI cameras are able to enhance …

“Performance Analysis for Optimizing Embedded Deep Learning Inference Software,” a Presentation from Arm Read More +

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NVIDIA Brings CUDA to Arm, Enabling New Path to Exascale Supercomputing

Global HPC Leaders Join to Support New Platform June 17, 2019 — International Supercomputing Conference — NVIDIA today announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers. NVIDIA is making available to the Arm® ecosystem its full stack of AI and HPC software — …

NVIDIA Brings CUDA to Arm, Enabling New Path to Exascale Supercomputing Read More +

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Delivering Next-generation AI Experiences for the 5G World

News Highlights: Arm Cortex-A77 CPU: redefining mobile performance with 20% IPC improvements Arm Mali-G77 GPU: all new Valhall architecture for premium mobile experiences, delivering high-end graphics at increased efficiency Arm Machine Learning (ML) processor: delivering best-in-class efficiency with up to 5 TOPs/W and a robust software ecosystem May 27, 2019 – Over the past 12+ months …

Delivering Next-generation AI Experiences for the 5G World Read More +

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Next-generation Armv8.1-M Architecture: Delivering Enhanced Machine Learning and Signal Processing for the Smallest Embedded Devices

February 14, 2019 – News highlights: Arm Helium technology is a new M-Profile Vector Extension bringing enhanced compute capabilities to the Armv8.1-M architecture Delivering up to 15x performance uplift for machine learning and up to 5x uplift to signal processing tasks on the smallest of edge devices For next-generation Cortex-M processors, aimed at small, embedded …

Next-generation Armv8.1-M Architecture: Delivering Enhanced Machine Learning and Signal Processing for the Smallest Embedded Devices Read More +

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A Sharper Digital Eye For Intelligent Devices With the Latest Arm ISP Technology

January 03, 2019 – News highlights New Arm Mali-C52 and Mali-C32 image signal processors (ISPs) provide class-leading image quality, a complete software package, and full set of calibration and tuning tools Higher image quality in a wide range of everyday devices including drones, smart home assistants and security, and internet protocol (IP) cameras New applications …

A Sharper Digital Eye For Intelligent Devices With the Latest Arm ISP Technology Read More +

Arm Demonstration of Image Classification Using Arm NN and the Compute Library

Gian Marco Iodice, Senior Software Engineer at Arm, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Iodice demonstrates image classification using Arm NN and the Compute Library, showing how they provide Arm-based platforms with the flexibility to switch between the CPU and GPU for easy and performant image classification.

Arm Demonstration of the Company’s Object Detection Processor

Alexey Lopich, Principal Hardware Engineer and Team Lead at Arm, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Lopich demonstrates Arm’s Object Detection processor, showing how it detects objects – from 50×60 pixels to full screen – in real time, at high speed (60fps) and in high resolution (Full HD). He …

Arm Demonstration of the Company’s Object Detection Processor Read More +

“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm

Vikas Chandra, Senior Principal Engineer and Director of Machine Learning at Arm, presents the “Deep Learning on Arm Cortex-M Microcontrollers” tutorial at the May 2018 Embedded Vision Summit. Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a …

“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm Read More +

“Project Trillium: A New Suite of Machine Learning IP,” a Presentation from Arm

Steve Steele, Director of Platforms in the Machine Learning Group at Arm, presents the “Project Trillium: A New Suite of Machine Learning IP from Arm” tutorial at the May 2018 Embedded Vision Summit. Machine learning processing engines today tend to focus on specific device classes or the needs of individual sectors. Arm’s Project Trillium changes …

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“Even Faster CNNs: Exploring the New Class of Winograd Algorithms,” a Presentation from Arm

Gian Marco Iodice, Senior Software Engineer in the Machine Learning Group at Arm, presents the “Even Faster CNNs: Exploring the New Class of Winograd Algorithms” tutorial at the May 2018 Embedded Vision Summit. Over the past decade, deep learning networks have revolutionized the task of classification and recognition in a broad area of applications. Deeper …

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“Computer Vision on ARM: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms,” a Presentation from ARM

Roberto Mijat, Director of Software Product Management in the Business Segment Group at ARM, presents the "Computer Vision on ARM: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms" tutorial at the May 2017 Embedded Vision Summit. Mobile computing platforms are ubiquitous, and therefore provide an exciting vehicle for the deployment of new computer …

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“This Changes Everything — Why Computer Vision Will Be Everywhere,” a Presentation from ARM

Tim Ramsdale, General Manager of the Imaging and Vision Group at ARM, presents the "This Changes Everything — Why Computer Vision Will Be Everywhere" tutorial at the May 2017 Embedded Vision Summit. Computer vision, or teaching machines to see, will be revolutionary – it will change everything. Beyond the obvious markets where it is having …

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Accelerating AI Experiences from Edge to Cloud

First processors based on ARM DynamIQ technology take a big step towards boosting AI performance by more than 50x over the next 3-5 years ARM Cortex-A75 delivers massive single-thread compute uplift for premium performance points ARM Cortex-A55 is the world’s most versatile high-efficiency processor ARM Mali-G72 GPU expands VR, gaming and Machine Learning capabilities on premium …

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“Computer Vision on ARM: The Spirit Object Detection Accelerator,” a Presentation from ARM

Tim Hartley, Senior Product Manager in the Imaging and Vision Group at ARM, presents the "Computer Vision on ARM: The Spirit Object Detection Accelerator" tutorial at the May 2017 Embedded Vision Summit. In 2016, ARM released Spirit, a dedicated object detection accelerator, bringing industry-leading levels of power- and area-efficiency to computer vision workflows. In this …

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“Using SGEMM and FFTs to Accelerate Deep Learning,” a Presentation from ARM

Gian Marco Iodice, Software Engineer at ARM, presents the "Using SGEMM and FFTs to Accelerate Deep Learning" tutorial at the May 2016 Embedded Vision Summit. Matrix Multiplication and the Fast Fourier Transform are numerical foundation stones for a wide range of scientific algorithms. With the emergence of deep learning, they are becoming even more important, …

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“Lessons Learned from Bringing Mobile and Embedded Vision Products to Market,” a Presentation from ARM

Tim Hartley, Product Manager in the Personal Mobile Compute Business Line at ARM, presents the "Lessons Learned from Bringing Mobile and Embedded Vision Products to Market" tutorial at the May 2016 Embedded Vision Summit. Great news: technology is finally at a point where we can build sophisticated computer vision applications that run on mass market …

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Optimizing Computer Vision Applications Using OpenCL and GPUs

The substantial parallel processing resources available in modern graphics processors makes them a natural choice for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across GPUs and other heterogeneous processing elements within a system. In this article, we briefly review parallelism in computer vision applications, …

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Optimizing Fast Fourier Transformation on ARM Mali GPUs

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. The Fast Fourier Transformation (FFT) is a powerful tool in signal and image processing. One very valuable optimization technique for this type of algorithm is vectorization. This article discusses the motivation, vectorization techniques and performance of the FFT …

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Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 3)

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. In this third and last part of this blog series we are going to extend the mixed-radix FFT OpenCL™ …

Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 3) Read More +

Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 2)

This article was originally published at ARM’s website. It is reprinted here with the permission of ARM. For more information, please see ARM’s developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. Here we are for the second part of our blog series about the OpenCL™ implementation of Complex to Complex …

Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 2) Read More +

Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 1)

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. This is the first article of three that will focus on the implementation of Fast Fourier Transform (FFT) using …

Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 1) Read More +

“Using Vision to Create Smarter Consumer Devices with Improved Privacy,” a Presentation from Apical

Michael Tusch, Founder and CEO of Apical, presents the "Using Vision to Create Smarter Consumer Devices with Improved Privacy" tutorial at the May 2015 Embedded Vision Summit. Machines are valuable primarily due to their ability interact with people and with the physical world. But today, most of the consumer devices in the “Internet of Things” …

“Using Vision to Create Smarter Consumer Devices with Improved Privacy,” a Presentation from Apical Read More +

“Understanding the Role of Integrated GPUs in Vision Applications,” a Presentation from ARM

Roberto Mijat, Visual Computing Marketing Manager at ARM, presents the "Understanding the Role of Integrated GPUs in Vision Applications" tutorial at the May 2015 Embedded Vision Summit. Today, systems-on-chip (SoCs) used in applications such as smart TVs, smartphones and tablets typically include a multi-core CPU with single-instruction, multiple-data capabilities as well as a GPU that …

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Realizing the Benefits of GPU Compute for Real Applications with Mali GPUs

This article was originally published at ARM's Community site. It is reprinted here with the permission of ARM. I have just returned from a fortnight spent hopping around Asia in support of a series of ARM hosted events we call the Multimedia Seminars, which took place in Seoul (27th June), Taipei (1st July) and Shenzhen …

Realizing the Benefits of GPU Compute for Real Applications with Mali GPUs Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical

Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect …

October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Exploiting Synergy Between Image Improvement and Image Understanding Algorithms,” Michael Tusch, Apical

Michael Tusch, founder and CEO of Apical, presents the "Exploiting Synergy Between Image Improvement and Image Understanding Algorithms" tutorial within the "Image Sensors and Front-End Image Processing" technical session at the April 2013 Embedded Vision Summit.

September 2012 Embedded Vision Summit Discussion Panel: Apical, National Instruments, and VanGogh Imaging

Jeff Bier, Embedded Vision Alliance Founder, moderates a discussion panel comprised of the presenters in the "Using Processors for Embedded Vision" technical session at the September 2012 Embedded Vision Summit; Michael Tusch from Apical, Kamalina Srikant from National Instruments, and Ken Lee from VanGogh Imaging. The panelists discuss topics such as processing partitioning in heterogeneous …

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September 2012 Embedded Vision Summit Presentation: “Harnessing Hardware Accelerators to Move from Algorithms to Embedded Vision,” Michael Tusch, Apical

Michael Tusch, founder and CEO of Apical, presents the "Harnessing Hardware Accelerators to Move from Algorithms to Embedded Vision" tutorial within the "Using Processors for Embedded Vision" technical session at the September 2012 Embedded Vision Summit. The presentation focuses on the programming challenges associated with implementing vision algorithms efficiently on embedded devices with a degree …

September 2012 Embedded Vision Summit Presentation: “Harnessing Hardware Accelerators to Move from Algorithms to Embedded Vision,” Michael Tusch, Apical Read More +

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Image Sensors Evolve to Meet Emerging Embedded Vision Needs – Part 2: HDR Processing

by Michael Tusch Founder and CEO Apical Limited This article was originally published at EDN Magazine. It is reprinted here with the permission of EDN. It was adapted from Michael's technical article on the Embedded Vision Alliance website. Part 1 of this article looks at examples of embedded vision and how the technology transition from …

Image Sensors Evolve to Meet Emerging Embedded Vision Needs – Part 2: HDR Processing Read More +

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HDR Sensors for Embedded Vision

By Michael Tusch Founder and CEO Apical Limited At the late-March 2012 Embedded Vision Alliance Summit, Eric Gregori and Shehrzad Qureshi from BDTI presented a helpful overview of CCD and CMOS image sensor technology. I thought it might be interesting to extend this topic to cover so-called HDR (High Dynamic Range) / WDR (Wide Dynamic …

HDR Sensors for Embedded Vision Read More +

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Dynamic Range And Edge Detection: An Example Of Embedded Vision Algorithms’ Dependence On In-Camera Image Processing

By Michael Tusch Founder and CEO Apical Limited This article will expand on the theme initiated in the premier article of this series, that of exploring how the pixel processing performed in cameras can either enhance or hinder the performance of embedded vision algorithms. Achieving natural or otherwise aesthetically pleasing camera images is normally considered …

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How Does Camera Performance Affect Analytics?

By Michael Tusch Founder and CEO Apical Limited Camera designers have decades of experience in creating image processing pipelines which produce attractive and/or visually accurate images, but what kind of image processing produces video which is well-purposed for subsequent analytics? It seems reasonable to begin by considering a conventional ISP (image signal processor). After all, …

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