The document describes the Contex IQ Quattro scanner. It can scan A0/E-sized documents in 3.5 seconds with crisp, sharp images. It is networked and cloud-enabled, allowing collaboration across workgroups. It uses Contex CleanScan technology and Nextimage software for fast, accurate scanning of documents up to 44 inches wide.
LXS Scanning presentation at the International Security Expo 2018LXS Scanning
This presentation was delivered by our Chief Technology Officer Brendan Allman PhD at the International Security Expo in London in 2018. It discusses how our technology can upgrade existing security scanning machines by enhancing material discrimination capabilities to create safer and more secure checkpoints.
The next evolution in cloud computing is a smarter application not in the cloud. As the cloud has continued to evolve, the applications that utilize it have had more and more capabilities of the cloud. This presentation will show how to push logic and machine learning from the cloud to an edge application. Afterward, creating edge applications which utilize the intelligence of the cloud should become effortless.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/streamlining-development-of-edge-ai-applications-a-presentation-from-nvidia/
Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.
Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this session, you will learn how NVIDIA makes it easier for developers to build, deploy, maintain and manage embedded edge products.
NVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact module form factor. Together with NVIDIA pretrained models, Transfer Learning Toolkit, DeepStream and JetPack SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/senspro2-highly-scalable-sensor-hub-dsp-for-computer-vision-ai-and-multi-sensor-fusion-for-contextually-aware-devices-a-presentation-from-ceva/
Gil Abraham, Director of Business Development in the Vision and AI Business Unit at CEVA, presents the “SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices” tutorial at the May 2021 Embedded Vision Summit.
Contextual awareness is the ability of a system to gather information about its environment and adapt behaviors accordingly. Contextual awareness is enabling enriched user experiences in applications like XR, robotics and automotive. It requires the processing of data from multiple sensors—such as cameras, radar, lidar and motion sensors—using various computer vision and neural network workloads.
In this presentation, Abraham covers CEVA’s latest SensPro2 sensor hub DSP family for contextual awareness processing, including its scalable architecture (combining parallel signal processing and AI inferencing) as well as the unique CEVA neural network optimizing compiler that supports it.
Accelerating algorithmic and hardware advancements for power efficient on-dev...Qualcomm Research
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today are growing quickly in size and use too much memory, compute, and energy. Plus, to make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget. One approach to address these issues is Bayesian deep learning. This presentation covers:
• Why AI algorithms and hardware need to be energy efficient
• How Bayesian deep learning is making neural networks more power efficient through model compression and quantization
• How we are doing fundamental research on AI algorithms and hardware to maximize power efficiency
Deep learning @ Edge using Intel's Neural Compute Stickgeetachauhan
Talk @ Intel Global IoT DevFest, Nov 2017
The new generation of hardware accelerators are enabling rich AI driven, Intelligent IoT solutions @ the edge.
The talk showcased how to use Intel's latest Nervana Compute Stick for accelerating deep learning IoT solutions. It also covered use cases and code details for running Deep Learning models on Intel's Nervana Compute Stick.
LXS Scanning presentation at the International Security Expo 2018LXS Scanning
This presentation was delivered by our Chief Technology Officer Brendan Allman PhD at the International Security Expo in London in 2018. It discusses how our technology can upgrade existing security scanning machines by enhancing material discrimination capabilities to create safer and more secure checkpoints.
The next evolution in cloud computing is a smarter application not in the cloud. As the cloud has continued to evolve, the applications that utilize it have had more and more capabilities of the cloud. This presentation will show how to push logic and machine learning from the cloud to an edge application. Afterward, creating edge applications which utilize the intelligence of the cloud should become effortless.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/streamlining-development-of-edge-ai-applications-a-presentation-from-nvidia/
Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.
Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this session, you will learn how NVIDIA makes it easier for developers to build, deploy, maintain and manage embedded edge products.
NVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact module form factor. Together with NVIDIA pretrained models, Transfer Learning Toolkit, DeepStream and JetPack SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/senspro2-highly-scalable-sensor-hub-dsp-for-computer-vision-ai-and-multi-sensor-fusion-for-contextually-aware-devices-a-presentation-from-ceva/
Gil Abraham, Director of Business Development in the Vision and AI Business Unit at CEVA, presents the “SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices” tutorial at the May 2021 Embedded Vision Summit.
Contextual awareness is the ability of a system to gather information about its environment and adapt behaviors accordingly. Contextual awareness is enabling enriched user experiences in applications like XR, robotics and automotive. It requires the processing of data from multiple sensors—such as cameras, radar, lidar and motion sensors—using various computer vision and neural network workloads.
In this presentation, Abraham covers CEVA’s latest SensPro2 sensor hub DSP family for contextual awareness processing, including its scalable architecture (combining parallel signal processing and AI inferencing) as well as the unique CEVA neural network optimizing compiler that supports it.
Accelerating algorithmic and hardware advancements for power efficient on-dev...Qualcomm Research
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today are growing quickly in size and use too much memory, compute, and energy. Plus, to make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget. One approach to address these issues is Bayesian deep learning. This presentation covers:
• Why AI algorithms and hardware need to be energy efficient
• How Bayesian deep learning is making neural networks more power efficient through model compression and quantization
• How we are doing fundamental research on AI algorithms and hardware to maximize power efficiency
Deep learning @ Edge using Intel's Neural Compute Stickgeetachauhan
Talk @ Intel Global IoT DevFest, Nov 2017
The new generation of hardware accelerators are enabling rich AI driven, Intelligent IoT solutions @ the edge.
The talk showcased how to use Intel's latest Nervana Compute Stick for accelerating deep learning IoT solutions. It also covered use cases and code details for running Deep Learning models on Intel's Nervana Compute Stick.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/12/vitis-and-vitis-ai-application-acceleration-from-cloud-to-edge-a-presentation-from-xilinx/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Vinod Kathail, Fellow and Chief Architect at Xilinx, presents the “Vitis and Vitis AI: Application Acceleration from Cloud to Edge” tutorial at the September 2020 Embedded Vision Summit.
Xilinx SoCs and FPGAs provide significant advantages in throughput, latency, and energy efficiency for production deployments of compute-intensive applications when compared to CPUs and GPUs. Over the last decade, FPGAs have evolved into highly configurable devices that provide on-chip heterogeneous multi-core CPUs, domain-specific programmable accelerators and “any-to-any” interface connectivity.
Today, the Xilinx Vitis Unified Software Platform supports high-level programming in C, C++, OpenCL, and Python, enabling developers to build and seamlessly deploy applications on Xilinx platforms including Alveo cards, FPGA instances in the cloud, and embedded devices. Moreover, Vitis enables the acceleration of large-scale data processing and machine learning applications using familiar high-level frameworks, such as TensorFlow and SPARK. This presentation provides an overview of the Vitis Software platform and the accelerated Vitis Vision Library, which enables customizable functions such as image signal processing, adaptable AI inference, 3D reconstruction and motion analysis.
Kevin Shaw at AI Frontiers: AI on the Edge: Bringing Intelligence to Small De...AI Frontiers
The edge is the domain of the Internet of Things, of personal medical devices, of cars that understand the world, of machines that self-regulate and more. These devices share a common constraint: they can't send full data to the cloud for processing. This talk will review the changing needs for AI at the edge, the demands of learning networks on small cores and changing hardware being provided to meet these demands.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/deploying-deep-learning-applications-on-fpgas-with-matlab-a-presentation-from-mathworks/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep Learning Applications on FPGAs with MATLAB” tutorial at the September 2020 Embedded Vision Summit.
Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity of programming in Verilog or VHDL, and the hardware expertise needed for prototyping on an FPGA. This talk illustrates a workflow to facilitate the design and deployment of these applications to FPGAs using pre-built bitstreams without the need for much hardware expertise.
Starting with a pre-trained model trained either in MATLAB or any framework of your choice, Erickson demonstrates the workflow to prototype and deploy the trained network from MATLAB to an FPGA. He illustrates this flow using a deep learning network for image recognition, deploying it to the Xilinx MPSoC board for inference using APIs from MATLAB. This demonstrates how deep learning algorithm engineers can quickly explore different networks and their performance on an FPGA from MATLAB.
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/12/making-edge-ai-inference-programming-easier-and-flexible-a-presentation-from-texas-instruments/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge AI Inference Programming Easier and Flexible” tutorial at the September 2020 Embedded Vision Summit.
Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes time and investment to learn to use proprietary tools and to optimize the edge implementation to achieve your desired performance. While embedded vendors are providing proprietary tools for model deployment, the open source community is also advancing to standardize the model deployment process and make it hardware agnostic.
Texas Instruments has adopted open source software frameworks to make model deployment easier and more flexible. In this talk, you will learn about the struggles developers face when deploying models for inference on embedded processors and how TI addresses these critical software development challenges. You will also discover how TI enables faster time-to-market using a flexible open source development approach without the need to compromise performance, accuracy or power requirements.
Best Practices for On-Demand HPC in Enterprisesgeetachauhan
Traditionally HPC has been popular in Scientific domains, but not in most other Enterprises. With the advent of on-demand-HPC in cloud and growing adoption of Deep Learning, HPC should now be a standard platform for any Enterprise leading with AI and Machine Learning. This session will cover the best practices for building your own on-demand HPC cluster for Enterprise workloads along with key use cases where Enterprises will benefit from HPC solution.
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...inside-BigData.com
In this deck from the Stanford HPC Conference, Nick Nystrom and Paola Buitrago provide an update from the Pittsburgh Supercomputing Center.
Nick Nystrom is Chief Scientist at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence of HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics.
Watch the video: https://youtu.be/LWEU1L1o7yY
Learn more: https://www.psc.edu/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the Stanford HPC Conference, Ryan Quick from Providentia Worldwide describes how DNNs can be used to improve EDA simulation runs.
"Systems Intelligence relies on a variety of methods for providing insight into the core mechanisms for driving automated behavioral changes in self-healing command and control platforms. This talk reports on initial efforts with leveraging Semiconductor Electronic Design Automation (EDA) telemetry data from cross-domain sources including power, network, storage, nodes, and applications in neural networks as a driving method for insight into SI automation systems."
Watch the video: https://youtu.be/2WbR8tq-XbM
Learn more: http://www.providentiaworldwide.com/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Bewakingsopslag: van Edge naar Core
Barber Brinkman gaat in op de ontwikkelingen in de IP-video en business analytics markt.
Wat zijn de mogelijkheden van moderne camera's op het gebied van opslag? Denk aan het lokaal opslaan van beelden (en het maken van een back-up in de cloud) en de mogelijkheden van Artificial Intelligience (AI)
Leer meer over de hardware en serveroplossingen die u helpen bij uw uitdagingen op het gebied van bewakingsopslag. Hoe werken Full HD en 4K video-opnames in combinatie met opslag, prestaties, betrouwbaarheid én het eenvoudig afspelen van beelden in de praktijk?
In this deck from GTC Digital, William Beaudin from DDN presents: HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD.
Enabling high performance computing through the use of GPUs requires an incredible amount of IO to sustain application performance. We'll cover architectures that enable extremely scalable applications through the use of NVIDIA’s SuperPOD and DDN’s A3I systems.
The NVIDIA DGX SuperPOD is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure. DDN A³I with the EXA5 parallel file system is a turnkey, AI data storage infrastructure for rapid deployment, featuring faster performance, effortless scale, and simplified operations through deeper integration. The combined solution delivers groundbreaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world's most challenging AI problems.
Watch the video: https://wp.me/p3RLHQ-lIV
Learn more: https://www.ddn.com/download/nvidia-superpod-ddn-a3i-ai400-appliance-with-the-exa5-filesystem/
and
https://www.nvidia.com/en-us/gtc/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/12/vitis-and-vitis-ai-application-acceleration-from-cloud-to-edge-a-presentation-from-xilinx/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Vinod Kathail, Fellow and Chief Architect at Xilinx, presents the “Vitis and Vitis AI: Application Acceleration from Cloud to Edge” tutorial at the September 2020 Embedded Vision Summit.
Xilinx SoCs and FPGAs provide significant advantages in throughput, latency, and energy efficiency for production deployments of compute-intensive applications when compared to CPUs and GPUs. Over the last decade, FPGAs have evolved into highly configurable devices that provide on-chip heterogeneous multi-core CPUs, domain-specific programmable accelerators and “any-to-any” interface connectivity.
Today, the Xilinx Vitis Unified Software Platform supports high-level programming in C, C++, OpenCL, and Python, enabling developers to build and seamlessly deploy applications on Xilinx platforms including Alveo cards, FPGA instances in the cloud, and embedded devices. Moreover, Vitis enables the acceleration of large-scale data processing and machine learning applications using familiar high-level frameworks, such as TensorFlow and SPARK. This presentation provides an overview of the Vitis Software platform and the accelerated Vitis Vision Library, which enables customizable functions such as image signal processing, adaptable AI inference, 3D reconstruction and motion analysis.
Kevin Shaw at AI Frontiers: AI on the Edge: Bringing Intelligence to Small De...AI Frontiers
The edge is the domain of the Internet of Things, of personal medical devices, of cars that understand the world, of machines that self-regulate and more. These devices share a common constraint: they can't send full data to the cloud for processing. This talk will review the changing needs for AI at the edge, the demands of learning networks on small cores and changing hardware being provided to meet these demands.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/deploying-deep-learning-applications-on-fpgas-with-matlab-a-presentation-from-mathworks/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep Learning Applications on FPGAs with MATLAB” tutorial at the September 2020 Embedded Vision Summit.
Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity of programming in Verilog or VHDL, and the hardware expertise needed for prototyping on an FPGA. This talk illustrates a workflow to facilitate the design and deployment of these applications to FPGAs using pre-built bitstreams without the need for much hardware expertise.
Starting with a pre-trained model trained either in MATLAB or any framework of your choice, Erickson demonstrates the workflow to prototype and deploy the trained network from MATLAB to an FPGA. He illustrates this flow using a deep learning network for image recognition, deploying it to the Xilinx MPSoC board for inference using APIs from MATLAB. This demonstrates how deep learning algorithm engineers can quickly explore different networks and their performance on an FPGA from MATLAB.
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/12/making-edge-ai-inference-programming-easier-and-flexible-a-presentation-from-texas-instruments/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge AI Inference Programming Easier and Flexible” tutorial at the September 2020 Embedded Vision Summit.
Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes time and investment to learn to use proprietary tools and to optimize the edge implementation to achieve your desired performance. While embedded vendors are providing proprietary tools for model deployment, the open source community is also advancing to standardize the model deployment process and make it hardware agnostic.
Texas Instruments has adopted open source software frameworks to make model deployment easier and more flexible. In this talk, you will learn about the struggles developers face when deploying models for inference on embedded processors and how TI addresses these critical software development challenges. You will also discover how TI enables faster time-to-market using a flexible open source development approach without the need to compromise performance, accuracy or power requirements.
Best Practices for On-Demand HPC in Enterprisesgeetachauhan
Traditionally HPC has been popular in Scientific domains, but not in most other Enterprises. With the advent of on-demand-HPC in cloud and growing adoption of Deep Learning, HPC should now be a standard platform for any Enterprise leading with AI and Machine Learning. This session will cover the best practices for building your own on-demand HPC cluster for Enterprise workloads along with key use cases where Enterprises will benefit from HPC solution.
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...inside-BigData.com
In this deck from the Stanford HPC Conference, Nick Nystrom and Paola Buitrago provide an update from the Pittsburgh Supercomputing Center.
Nick Nystrom is Chief Scientist at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence of HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics.
Watch the video: https://youtu.be/LWEU1L1o7yY
Learn more: https://www.psc.edu/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the Stanford HPC Conference, Ryan Quick from Providentia Worldwide describes how DNNs can be used to improve EDA simulation runs.
"Systems Intelligence relies on a variety of methods for providing insight into the core mechanisms for driving automated behavioral changes in self-healing command and control platforms. This talk reports on initial efforts with leveraging Semiconductor Electronic Design Automation (EDA) telemetry data from cross-domain sources including power, network, storage, nodes, and applications in neural networks as a driving method for insight into SI automation systems."
Watch the video: https://youtu.be/2WbR8tq-XbM
Learn more: http://www.providentiaworldwide.com/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Bewakingsopslag: van Edge naar Core
Barber Brinkman gaat in op de ontwikkelingen in de IP-video en business analytics markt.
Wat zijn de mogelijkheden van moderne camera's op het gebied van opslag? Denk aan het lokaal opslaan van beelden (en het maken van een back-up in de cloud) en de mogelijkheden van Artificial Intelligience (AI)
Leer meer over de hardware en serveroplossingen die u helpen bij uw uitdagingen op het gebied van bewakingsopslag. Hoe werken Full HD en 4K video-opnames in combinatie met opslag, prestaties, betrouwbaarheid én het eenvoudig afspelen van beelden in de praktijk?
In this deck from GTC Digital, William Beaudin from DDN presents: HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD.
Enabling high performance computing through the use of GPUs requires an incredible amount of IO to sustain application performance. We'll cover architectures that enable extremely scalable applications through the use of NVIDIA’s SuperPOD and DDN’s A3I systems.
The NVIDIA DGX SuperPOD is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure. DDN A³I with the EXA5 parallel file system is a turnkey, AI data storage infrastructure for rapid deployment, featuring faster performance, effortless scale, and simplified operations through deeper integration. The combined solution delivers groundbreaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world's most challenging AI problems.
Watch the video: https://wp.me/p3RLHQ-lIV
Learn more: https://www.ddn.com/download/nvidia-superpod-ddn-a3i-ai400-appliance-with-the-exa5-filesystem/
and
https://www.nvidia.com/en-us/gtc/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/visual-ai-at-the-edge-from-surveillance-cameras-to-people-counters-a-presentation-from-synaptics/
Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters" tutorial at the May 2021 Embedded Vision Summit.
New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI devices with small, low-cost, low-power cameras. Synaptics has embarked on a roadmap of edge-AI DNN processors targeted at a range of real-time computer vision and multimedia applications. These span from enhancing the image quality of a high-resolution camera’s output using Synaptics' VS680 multi-TOPS processor to performing computer vision in battery-powered devices at lower resolution using the company's Katana Edge-AI SoC.
In this talk, Worfolk shows how these edge AI SoCs can be used to:
• Achieve exceptional color video in very low light conditions
• De-noise and distortion-correct both 2D and 3D imagery from a time-of-flight depth camera that images through a smartphone OLED display
• Perform super-resolution enhancement of high-resolution video imagery, and
• Recognize objects using lower-resolution sensors under battery power.
Hai Tao at AI Frontiers: Deep Learning For Embedded Vision SystemAI Frontiers
This presentation will demonstrate our recent progress in developing advanced computer vision algorithms using embedded platforms for video-based face recognition, vehicle attribute analysis, urban management event detection, and high-density crowd counting. These algorithms combine the traditional CV approach with recent advances in deep learning to make high-performance computer vision systems practical and enable products in several vertical markets including intelligent transportation systems (ITS), business intelligence (BI), and smart video surveillance. We will demonstrate algorithm design and optimization scheme for several recently available processors from Movidius, Nvidia, and ARM.
Harnessing the virtual realm for successful real world artificial intelligenceAlison B. Lowndes
Artificial Intelligence is impacting all areas of society, from healthcare and transportation to smart cities and energy. How NVIDIA invests both in internal pure research and accelerated computation to enable its diverse customer base, across gaming & extended reality, graphics, AI, robotics, simulation, high performance scientific computing, healthcare & more. You will be introduced to the GPU computing platform & shown real world successfully deployed applications as well as a glimpse into the current state of the art across academia, enterprise and startups.
The PACS Nano is a path breaking design which exploits cloud computing and the availability off-the-shelf computer hardware to build an affordable, easy-to-use PACS that delivers robust performance with comprehensive functionality.
A solutions specifically designed for smaller hospitals and diagnostic centres targeting up to 10,000 patient exams per year is adequate for most radiology departments.
The simplicity of design also minimizes the cost and efforts for IT Administration, training and support, as even complex workflows involving multiple sites and teleradiology can be easily managed using Freedom Cloud sync.
The software allows users to access both images & reports from any computer in the facility.
The Innowave Freedom Nano supports audit trails image tracking for easy system management and ability to monitor and control the movement of patient studies
All usage statistics and key dashboards are available to display key operation deliverable like turnaround time etc.
The DICOM Image Viewer support basic DICOM print and archiving in CD, DVD media.
Innowave Healthcare has created enhanced reporting workflow solution provided for the Radiologist and Typist by seamlessly integrating “Microsoft word” with Freedom PACS.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/06/tensilica-processor-cores-enable-sensor-fusion-for-robust-perception-a-presentation-from-cadence/
Amol Borkar, Product Marketing Director at Cadence, presents the “Tensilica Processor Cores Enable Sensor Fusion for Robust Perception” tutorial at the May 2023 Embedded Vision Summit.
Until recently, the majority of sensor-based AI processing used vision and speech inputs. Recently, we have begun to see radar, LiDAR, event-based image sensors and other types of sensors used in new AI applications. And, increasingly, system developers are incorporating multiple, heterogeneous sensors in their designs and utilizing sensor fusion techniques to enable more robust machine perception.
In this presentation, Borkar explores some of the heterogeneous sensor combinations and sensor fusion approaches that are gaining adoption in applications such as driver assistance and mobile robots. He also shows how the Cadence Tensilica ConnX and Vision processor IP core families and their associated software tools and libraries support sensor fusion applications with high performance, efficiency and ease of development.
XES Automation is a startup in the field of surveillance and surveying technologies. We plan to start providing mobile robotic solutions for government sector and enormous private sector industries with our prime focus on the mining industry, defence operations and public safety.
The company was informally formed in March, 2014 and is ready to roll out its first remote survey robot TASSA-X in 2015, with a mission of re-allocating the 297 recorded abandoned/orphaned mines of India saving up to 10 billion tons of just coal reserves. Similar designs to TASSA-X have promised an increase of productivity of up to 30% in Korean mines. The secondary objective of TASSA-X variant is to serve in the military operations across the border for surveillance and for hazardous material handling operations for in Indian police.
HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...Linaro
Session ID: HKG18-300K2
Session Name: HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to enable the future of Embedded Machine Learning
Speaker: Tomas Evensen
Track: Ecosystem Day
★ Session Summary ★
As Moore's law is slowing down, heterogeneous architectures are needed to keep up with the increasing compute requirements emerging from industry trends such as the use machine learning across a diverse range of markets and applications. These compute requirements require custom system architectures to suit the rapidly evolving demands of emerging algorithms, standards and trends.
Field Programmable hardware offers a unique capability to provide flexibility alongside advanced processor architectures to address this ever increasing multitude of applications. Development flows, programmability and flexibility are crucial to the enablement of these advancing algorithms and to enable the next generation of implementations in a world of advancing Artificial intelligence.
In this session we will introduce you to an all Programmable paradigm and low cost development platform to enable an ecosystem of flexibility and unparalleled programmability.
The future is now…...
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★ Resources ★
Event Page: http://connect.linaro.org/resource/hkg18/hkg18-300k2/
Presentation: http://connect.linaro.org.s3.amazonaws.com/hkg18/presentations/hkg18-300k2.pdf
Video: http://connect.linaro.org.s3.amazonaws.com/hkg18/videos/hkg18-300k2.mp4
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★ Event Details ★
Linaro Connect Hong Kong 2018 (HKG18)
19-23 March 2018
Regal Airport Hotel Hong Kong
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Keyword: Ecosystem Day
'http://www.linaro.org'
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AWS re:Invent 2016: Powering the Next Generation of Virtual Reality with Veri...Amazon Web Services
In six months, Verizon has built a best-in-class Augmented Reality and Virtual Reality (AR/VR) platform that streams HD video and game experiences using Amazon EC2 GPU Accelerated instances and CloudFront. Verizon will share their reference architecture and configuration best practices that enabled them to develop a massively scalable VR architecture that scales to support for 100K simultaneous HD video streams to customers around the globe.
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Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
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"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
Implicitly or explicitly all competing businesses employ a strategy to select a mix
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What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
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Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
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