Smart Cities Technologies Give Back 125 Hours to Citizens Every Year

The record for the world’s worst traffic jam belongs to Beijing’s gridlock. For 12 days in August 2010, cars could not escape 62 miles of freeway. This example, alongside the U.N.’s prediction that by 2030 two-thirds of the world’s population will reside in densely packed megacities, reinforces a real urgency to alleviate the pressures and impact of overcrowding.

The concept of “smart cities,” which employs Internet of Things (IoT) technologies such as connected sensors, meters and lights to collect and analyze data to improve public infrastructure and services, holds the promise to dramatically change the way citizens live, work and get around. But is there a way to tangibly measure these benefits?

Yes, there is. An Intel-sponsored study by Juniper Research estimates that smart cities have the potential to “give back” a remarkable 125 hours to every resident every year. Additionally, the study ranks the top 20 smart cities worldwide across four key areas: mobility, health care, public safety and productivity, and reveals how these cities deliver positive outcomes for increased time savings and productivity, increases in health and overall quality of life, and a safer environment.

More: “Smart Cities – What’s in It for Citizens?” (Report) | Internet of Things News

“Analysts tend to focus on the technical underpinnings of building a data-centric world,” says Windsor Holden, head of forecasting and consultancy at Juniper Research. “We can’t overlook the importance of the real human benefits that smart cities have. Connected communities, municipal services and processes have a powerful impact on a citizen’s quality of life.”

Smart Cities Worldwide

The study found that Chicago, London, New York, San Francisco and Singapore, are the world’s leading cities integrating IoT technologies and connected services. These cities stand out because of their cohesive efforts to connect city municipalities, businesses and their citizens to address a growing need to improve “livability” – specifically around mobility (San Francisco and Singapore), public safety (Chicago, New York and Singapore), health care (London and Singapore), and productivity (Chicago, London and Singapore) – as they transition to a smarter, more connected environment.

“Cities are engines of economic activity, and we as an industry need to make them more resilient and responsive,” says Sameer Sharma, global general manager of smart cities IoT solutions at Intel. “Partnerships between city planners, government officials, private companies, OEMs, software developers and startups are creating smart city ecosystems that will empower citizens while reducing our carbon footprint.”

Smart Cities Are a Reality Today

Many of the IoT technologies identified in the study – including mobility, health and public safety solutions – are already being deployed around the world.

Mobility: The average peak-time vehicle speed in cities is a dismal 4 mph. This gridlock causes drivers to lose up to 70 hours per year. The study determined an integrated IoT-enabled infrastructure of intelligent traffic systems, safer roads, directed parking, frictionless toll and parking payments can give back up to 60 hours a year to drivers otherwise stuck in their cars.

Health: The study found that smart cities with connected digital health services can play a significant role in creating efficiencies – saving citizens almost 10 hours a year – and even potential lifesaving benefits for both patients and caregivers. Examples such as wearable apps monitor blood pressure, pain tolerance and temperature to help people manage chronic conditions without hospitalization. “Telemedicine” enables contagious flu sufferers to avoid doctor’s offices with an examination via high-speed video link from the comfort of their home.

Public Safety: Improvements in public safety can deliver substantial time benefits for smart city citizens – nearly 35 hours per year, according to the study. For instance, in Portland, Oregon, (No. 12 in the Juniper Smart Cities Index) and San Diego (No. 14), Intel joined GE* and AT&T* to deploy the Digital Infrastructure with Current, powered by GE’s CityIQ™*. This enables the cityscape to generate valuable data. Street lights transform into connected digital infrastructure beacons, monitoring the pulse of city life, which enable a range of local departments to be safer, cleaner and more efficient.

Smart cities may be still in the early stages, but based on the activities the study highlights, which are being rapidly implemented worldwide, there’s every reason to believe these examples are just the beginning of what’s possible.

smart cities infographic 2x1» Click for full infographic

The post Smart Cities Technologies Give Back 125 Hours to Citizens Every Year appeared first on Intel Newsroom.

Reducing the Complexity of IoT Development

Jonathan LuseBy Jonathan Luse

We have one message for IoT developers and integrators at this year’s Embedded World 2018: We are doing everything we can to help you prototype and develop your ideas faster and get your solutions to market sooner.

The Intel Internet of Things Group has been talking to a lot of developers and partners in the IoT ecosystem – and listening carefully. The result is we’ve completely revamped our roadmaps for developer tools and IoT solution resources to create a more seamless experience across the ecosystem.

Here is what we mean:

New Ingredients

Intel will showcase Intel® FPGAs and Movidius™ Myriad™ 2 VPUs, components that provide power-efficient acceleration to critical edge applications. Our Exor Smart Factory 4.0 demo models an entire working industrial system using Intel FPGA devices for device control in edge-compatible formats. Myriad 2 gives developers immediate access to its advanced vision processing core, while allowing them to develop proprietary capabilities that provide true differentiation.

Richer Tools, Kits and SDKs

We have consolidated our tool offerings to streamline the development path from prototype to production by integrating new features and capabilities into Intel® System Studio 2018. This includes 400 sensors, enhanced debugger workflows, more libraries and code samples, improved data compression, and optimizations for small matrix multiplication. This new tool is a cross-platform system and IoT development tool suite to help simplify system bring-up, boost performance and power efficiency, and strengthen system reliability.

We worked with Arduino* to streamline commercial application prototypes based on Intel® architecture using Arduino Create* and added Intel-based hardware capabilities into its development suite. For professional capabilities, there is a bridge from Arduino Create directly into Intel System Studio 2018 for a seamless development experience, leveraging advanced functionality provided by Intel’s tools.

You can also accelerate designs with the UP Squared* Grove* IoT Development Kit. Easy to use and versatile, the kit offers a rapid prototyping platform for applications, including media encode/decode, signal and data processing, and machine learning.

IoT-Dev-Journey-Hero-graphic
» Click for full image

Accelerating Development with Intel IoT RFP-Ready Kits

Request for proposal (RFP)-ready kits bundle hardware, middleware, software, sensors and support. These kits contain the core essentials an integrator needs to prototype quickly. They just require any unique differentiating features.

RFP-ready kits are focused on specific use cases, like visual retail, smart buildings, security surveillance and remote health care. The Advantech* RFP Kit, a solar panel that demonstrates Advantech’s UTX-3117 gateway combined with Wind River® Helix Device Cloud and Pulsar™ Linux*. This enables next-generation systems to process high volumes of data with low latency, high bandwidth and low power consumption.

Intel IoT Market-Ready Solutions

For fast deployments that are end user-ready, there are built-to-scale Market-Ready Solutions (MRS). Through our ecosystem partners, we are providing an extensive portfolio of proven, integrated and already-deployed MRSs. We are showing the new Dell* V5 Solution, a self-powered, portable artificial intelligence security solution that provides ongoing video monitoring and advanced analytics. The Hayward Police Department in California rapidly deployed these units to significantly reduce the number of downtown thefts and other downtown street crimes by over 60 percent.1

Connect with Intel at Embedded World 2018

Join us at the Intel booth at Embedded World (#338, Hall 1, Nuremberg Exhibition Center, Nuremberg, Germany) and learn how Intel will help drive innovation for the IoT through new hardware, software and tools for developers. Visit our Intel Developer Zone for IoT or the IoT Solutions Alliance for other resources and to get a jump-start on your next project.

Jonathan Luse is general manager of IoT Planning and Product Line Management at Intel Corporation. 

1Source: V5 Systems Case Study, City of Hayward

The post Reducing the Complexity of IoT Development appeared first on Intel Newsroom.

2018 CES

We are entering an artificial intelligence revolution.

To power the technology of the future and create amazing new experiences, we need to unlock the power of data. Its collection, storage and analysis continue to change and grow, having more of an impact on our everyday lives than ever before.

With advances in artificial intelligence, 5G connectivity, autonomous driving and virtual reality, Intel is taking the next steps at CES 2018 to reimagine how data will create amazing new experiences that will transform our daily lives.

Latest News

Event Details

2017 CES PHOTOS

Photos from Intel’s CES Booth

intel-booth-ces2017-34s

» Download image set 1 (ZIP, 142 MB)
» Download image set 2 (ZIP, 17 MB)


Photos from Intel’s VR News Conference

intel-news-2017ces-11

» Download all news conference images (ZIP, 82 MB)

2017 CES VIDEOS

2017 CES: Highlights from Intel’s Products and Experiences (B-roll)

» Download video: “2017 CES: Highlights from Intel’s Products and Experiences (B-roll)”
» Download video: “2017 CES: Intel Presents a World of Virtual Reality Experiences (Replay)”
» Download video: “2017 CES: Intel News Conference Present VR Experiences (Highlights)”

The post 2018 CES appeared first on Intel Newsroom.

2018 CES

We are entering an artificial intelligence revolution.

To power the technology of the future and create amazing new experiences, we need to unlock the power of data. Its collection, storage and analysis continue to change and grow, having more of an impact on our everyday lives than ever before.

With advances in artificial intelligence, 5G connectivity, autonomous driving and virtual reality, Intel is taking the next steps at CES 2018 to reimagine how data will create amazing new experiences that will transform our daily lives.

Latest News

Event Details

2017 CES PHOTOS

Photos from Intel’s CES Booth

intel-booth-ces2017-34s

» Download image set 1 (ZIP, 142 MB)
» Download image set 2 (ZIP, 17 MB)


Photos from Intel’s VR News Conference

intel-news-2017ces-11

» Download all news conference images (ZIP, 82 MB)

2017 CES VIDEOS

2017 CES: Highlights from Intel’s Products and Experiences (B-roll)

» Download video: “2017 CES: Highlights from Intel’s Products and Experiences (B-roll)”
» Download video: “2017 CES: Intel Presents a World of Virtual Reality Experiences (Replay)”
» Download video: “2017 CES: Intel News Conference Present VR Experiences (Highlights)”

The post 2018 CES appeared first on Intel Newsroom.

Intel Offers Innovative Approach to IoT Scaling and Security

» Click for full infographic

At the IoT Solutions World Congress, Intel addressed the challenges facing the Internet of Things (IoT) market today, and made a critical announcement designed to empower the industry to make the most of the tremendous opportunities ahead.

While earlier reports claimed that we will see 50 billion devices by 2020, the reality is we are nowhere close to reaching those numbers. In fact, recent research reports are far more tempered and predict closer to 30 billion devices in the same timeframe. The reason for the scaled-down outlook is because of the real-time issues of scaling deployments and security.

Today, provisioning and management of devices is a huge challenge, as IoT devices are added manually. It involves coordination between installation technicians, IT network operations, and operational technology teams and can typically take more than 20 minutes for a single device. Imagine installing 10,000 “smart IoT” light bulbs – at present, it could take two years to complete the process. This is to say nothing of the effort required to maintain device privacy and security.

To solve these complex issues, today Intel announced the launch of Intel® Secure Device Onboard (Intel® SDO). This technology securely automates and brings IoT devices online within seconds rather than hours. Intel SDO is being offered to IoT platform providers as a service they can provide to customers who wish to onboard thousands of connected devices.

More: Intel Secure Device Onboard (Product Brief)

Intel SDO’s “zero touch” model allows devices to dynamically discover the customer’s IoT platform account at power-on for automatic registration. It offers a one-to-many, one-time enablement solution that can be integrated into almost any device or IoT platform, thereby eliminating the need to custom pre-load provisioning configurations for each IoT implementation.

The Intel SDO also leverages Intel’s unique privacy-preserving IoT identity solution, the Intel® Enhanced Privacy ID (Intel® EPID), to anonymously authenticate the device and establish an encrypted communication tunnel, thereby preventing hackers from tracing the device from factory to owner. Intel EPID establishes a best practice identity model for IoT onboarding and is a proven method with over 2.7 billion keys distributed in Intel and non-Intel MCU processors since 2008.

Intel has expanded the availability of Intel SDO across the IoT ecosystem. Other silicon providers like Infineon, Microchip and Cypress Semiconductor will embed the EPID identity capability in their hardware. Cloud service platform and device management software providers like Google Cloud, Amazon Web Services (AWS), Microsoft Azure and Intel’s Wind River® Helix™ Device Cloud intend to provide integration to support Intel SDO’s zero touch model.

Intel SDO is now integrated with Wind River Helix Device Cloud, its device lifecycle management platform that enables IoT devices to securely connect, monitor, manage and service devices. With the integration of Intel SDO, Wind River’s latest release of Device Cloud includes zero touch onboarding designed to mitigate the risk of security attacks to a device, ensure privacy and deliver automation that dramatically reduces installation and onboarding time to mere seconds, among other new features and capabilities.

Weatherford, a leading oil and gas services company, was part of the Intel SDO pilot program. The company wanted to pull data from existing controllers and install new wireless sensors through a gateway to the cloud to drive oil and gas insights. By adopting the Intel SDO and Wind River’s Device Cloud, Weatherford was able to create a secure, scalable oilfield ecosystem from zero-touch onboarding to continual gateway management. It projects the sheer scale of the market for managed devices could reach 290,000 wells, representing 870,000 sensor data points and nearly 10,000 IoT gateways at a global level.

With these new offerings, Intel is at the forefront of developing cutting-edge solutions to deliver on the promise of IoT’s potential.

For more details on Intel’s keynote at the IoT Solution World Congress visit Intel’s IOT Solutions World Congress page or to find our more about becoming part of the Intel SDO ecosystem, go to Intel Secure Device Onboard page.

The post Intel Offers Innovative Approach to IoT Scaling and Security appeared first on Intel Newsroom.

Intel Offers Innovative Approach to IoT Scaling and Security

» Click for full infographic

At the IoT Solutions World Congress, Intel addressed the challenges facing the Internet of Things (IoT) market today, and made a critical announcement designed to empower the industry to make the most of the tremendous opportunities ahead.

While earlier reports claimed that we will see 50 billion devices by 2020, the reality is we are nowhere close to reaching those numbers. In fact, recent research reports are far more tempered and predict closer to 30 billion devices in the same timeframe. The reason for the scaled-down outlook is because of the real-time issues of scaling deployments and security.

Today, provisioning and management of devices is a huge challenge, as IoT devices are added manually. It involves coordination between installation technicians, IT network operations, and operational technology teams and can typically take more than 20 minutes for a single device. Imagine installing 10,000 “smart IoT” light bulbs – at present, it could take two years to complete the process. This is to say nothing of the effort required to maintain device privacy and security.

To solve these complex issues, today Intel announced the launch of Intel® Secure Device Onboard (Intel® SDO). This technology securely automates and brings IoT devices online within seconds rather than hours. Intel SDO is being offered to IoT platform providers as a service they can provide to customers who wish to onboard thousands of connected devices.

More: Intel Secure Device Onboard (Product Brief)

Intel SDO’s “zero touch” model allows devices to dynamically discover the customer’s IoT platform account at power-on for automatic registration. It offers a one-to-many, one-time enablement solution that can be integrated into almost any device or IoT platform, thereby eliminating the need to custom pre-load provisioning configurations for each IoT implementation.

The Intel SDO also leverages Intel’s unique privacy-preserving IoT identity solution, the Intel® Enhanced Privacy ID (Intel® EPID), to anonymously authenticate the device and establish an encrypted communication tunnel, thereby preventing hackers from tracing the device from factory to owner. Intel EPID establishes a best practice identity model for IoT onboarding and is a proven method with over 2.7 billion keys distributed in Intel and non-Intel MCU processors since 2008.

Intel has expanded the availability of Intel SDO across the IoT ecosystem. Other silicon providers like Infineon, Microchip and Cypress Semiconductor will embed the EPID identity capability in their hardware. Cloud service platform and device management software providers like Google Cloud, Amazon Web Services (AWS), Microsoft Azure and Intel’s Wind River® Helix™ Device Cloud intend to provide integration to support Intel SDO’s zero touch model.

Intel SDO is now integrated with Wind River Helix Device Cloud, its device lifecycle management platform that enables IoT devices to securely connect, monitor, manage and service devices. With the integration of Intel SDO, Wind River’s latest release of Device Cloud includes zero touch onboarding designed to mitigate the risk of security attacks to a device, ensure privacy and deliver automation that dramatically reduces installation and onboarding time to mere seconds, among other new features and capabilities.

Weatherford, a leading oil and gas services company, was part of the Intel SDO pilot program. The company wanted to pull data from existing controllers and install new wireless sensors through a gateway to the cloud to drive oil and gas insights. By adopting the Intel SDO and Wind River’s Device Cloud, Weatherford was able to create a secure, scalable oilfield ecosystem from zero-touch onboarding to continual gateway management. It projects the sheer scale of the market for managed devices could reach 290,000 wells, representing 870,000 sensor data points and nearly 10,000 IoT gateways at a global level.

With these new offerings, Intel is at the forefront of developing cutting-edge solutions to deliver on the promise of IoT’s potential.

For more details on Intel’s keynote at the IoT Solution World Congress visit Intel’s IOT Solutions World Congress page or to find our more about becoming part of the Intel SDO ecosystem, go to Intel Secure Device Onboard page.

The post Intel Offers Innovative Approach to IoT Scaling and Security appeared first on Intel Newsroom.

Introducing Myriad X: Unleashing AI at the Edge

Remi El-Ouazzane

By Remi El-Ouazzane

Throughout my career, and now more than ever at Intel, I have dreamed about where technology will take us next, and it’s even more exciting to be creating the future. Today, that future is here with the unveiling of the Myriad™ X, the world’s first vision processing unit (VPU) to ship with a dedicated Neural Compute Engine to deliver artificial intelligence (AI) capabilities to the edge in an incredibly low-power, high-performance package.

In the coming years, we’ll see a huge range of new products emerge that are made more autonomous by embedding real-time intelligence capabilities in devices – from drones and smart cameras to augmented reality and more – to give them the ability to see, understand, interact with and learn from rapidly changing environments.

Myriad X combines dedicated imaging, computer vision processing and – thanks to the industry-first Neural Compute Engine – high-performance deep learning inference within the same chip, and the results are opening up new realms of possibility. With this faster, more pervasive intelligence embedded directly into devices, the potential to make our world safer, more productive and more personal is limitless. From autonomous delivery drones and security cameras with contextual understanding to personal robots that have both situational and emotional awareness, Myriad X will unleash innovation for a new future of intelligent and autonomous devices.

More: Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge (News Byte) | Movidius Myriad X (Press Kit) | Movidius (Press Kit)

To make this possible, we’ve removed the time and power constraints of communication with the cloud and enabled deep learning at the device level. This is where the power of the VPU comes in – the Movidius™ platform is specifically designed to meet the challenges of autonomous devices. Our tiny VPUs put visual intelligence directly onboard the device while delivering industry-leading compute performance at an ultralow power threshold.

This is the day I have looked forward to since we were welcomed into the Intel family nearly one year ago – how time flies. In working across Intel’s diverse areas of expertise – from the AI Product Group and IoTG to the Intel Labs and RealSense teams, we have been able to give scale to our technology and push the performance of deep learning at the edge to bring Myriad X to the world in a form that is better and faster than I ever imagined.

And we’re just getting started…

As we continue to leverage Intel’s unique ability to deliver end-to-end AI solutions from the cloud to the edge, we are bound to deliver a VPU technology roadmap that will continue to dramatically increase edge compute performance without sacrificing power consumption.

This next decade will mark the birth of brand-new categories of devices, and we can’t wait to see the innovation from Myriad X to come.

As Saint-Exupéry once said, “As for the future, your task is not to foresee it, but to enable it.”

I invite you to learn more about how Myriad X is accelerating the possibilities of computer vision intelligence at the edge by visiting “Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge.”

Remi El-Ouazzane is vice president and general manager of Movidius in the New Technology Group of Intel Corporation.

The post Introducing Myriad X: Unleashing AI at the Edge appeared first on Intel Newsroom.

Introducing Myriad X: Unleashing AI at the Edge

Remi El-Ouazzane

By Remi El-Ouazzane

Throughout my career, and now more than ever at Intel, I have dreamed about where technology will take us next, and it’s even more exciting to be creating the future. Today, that future is here with the unveiling of the Myriad™ X, the world’s first vision processing unit (VPU) to ship with a dedicated Neural Compute Engine to deliver artificial intelligence (AI) capabilities to the edge in an incredibly low-power, high-performance package.

In the coming years, we’ll see a huge range of new products emerge that are made more autonomous by embedding real-time intelligence capabilities in devices – from drones and smart cameras to augmented reality and more – to give them the ability to see, understand, interact with and learn from rapidly changing environments.

Myriad X combines dedicated imaging, computer vision processing and – thanks to the industry-first Neural Compute Engine – high-performance deep learning inference within the same chip, and the results are opening up new realms of possibility. With this faster, more pervasive intelligence embedded directly into devices, the potential to make our world safer, more productive and more personal is limitless. From autonomous delivery drones and security cameras with contextual understanding to personal robots that have both situational and emotional awareness, Myriad X will unleash innovation for a new future of intelligent and autonomous devices.

More: Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge (News Byte) | Movidius Myriad X (Press Kit) | Movidius (Press Kit)

To make this possible, we’ve removed the time and power constraints of communication with the cloud and enabled deep learning at the device level. This is where the power of the VPU comes in – the Movidius™ platform is specifically designed to meet the challenges of autonomous devices. Our tiny VPUs put visual intelligence directly onboard the device while delivering industry-leading compute performance at an ultralow power threshold.

This is the day I have looked forward to since we were welcomed into the Intel family nearly one year ago – how time flies. In working across Intel’s diverse areas of expertise – from the AI Product Group and IoTG to the Intel Labs and RealSense teams, we have been able to give scale to our technology and push the performance of deep learning at the edge to bring Myriad X to the world in a form that is better and faster than I ever imagined.

And we’re just getting started…

As we continue to leverage Intel’s unique ability to deliver end-to-end AI solutions from the cloud to the edge, we are bound to deliver a VPU technology roadmap that will continue to dramatically increase edge compute performance without sacrificing power consumption.

This next decade will mark the birth of brand-new categories of devices, and we can’t wait to see the innovation from Myriad X to come.

As Saint-Exupéry once said, “As for the future, your task is not to foresee it, but to enable it.”

I invite you to learn more about how Myriad X is accelerating the possibilities of computer vision intelligence at the edge by visiting “Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge.”

Remi El-Ouazzane is vice president and general manager of Movidius in the New Technology Group of Intel Corporation.

The post Introducing Myriad X: Unleashing AI at the Edge appeared first on Intel Newsroom.

Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge

The Movidius™ Myriad™ X VPU
» Click to view full size image

Intel today introduced its new Movidius™ Myriad™ X vision processing unit (VPU), advancing Intel’s end-to-end portfolio of artificial intelligence (AI) solutions to deliver more autonomous capabilities across a wide range of product categories including drones, robotics, smart cameras and virtual reality.

More: Introducing Myriad X: Unleashing AI at the Edge (Remi El-Ouazzane Editorial) | Movidius Myriad X (Press Kit) | Movidius (Press Kit)

Myriad X is world’s first system-on-chip (SOC) shipping with a dedicated Neural Compute Engine for accelerating deep learning inferences at the edge. The Neural Compute Engine is an on-chip hardware block specifically designed to run deep neural networks at high speed and low power without compromising accuracy, enabling devices to see, understand and respond to their environments in real time. With the introduction of the Neural Compute Engine, the Myriad X architecture is capable of 1 TOPS1 of compute performance on deep neural network inferences.

“We’re on the cusp of computer vision and deep learning becoming standard requirements for the billions of devices surrounding us every day,” said Remi El-Ouazzane, vice president and general manager of Movidius, Intel New Technology Group. “Enabling devices with humanlike visual intelligence represents the next leap forward in computing. With Myriad X, we are redefining what a VPU means when it comes to delivering as much AI and vision compute power possible, all within the unique energy and thermal constraints of modern untethered devices.”

Capable of delivering more than 4 TOPS2 of total performance, its tiny form factor and on-board processing are ideal for autonomous device solutions. In addition to its Neural Compute Engine, Myriad X uniquely combines imaging, visual processing and deep learning inference in real time with:

Programmable 128-bit VLIW Vector Processors: Run multiple imaging and vision application pipelines simultaneously with the flexibility of 16 vector processors optimized for computer vision workloads.

Increased Configurable MIPI Lanes: Connect up to 8 HD resolution RGB cameras directly to Myriad X with its 16 MIPI lanes included in its rich set of interfaces, to support up to 700 million pixels per second of image signal processing throughput.

Enhanced Vision Accelerators: Utilize over 20 hardware accelerators to perform tasks such as optical flow and stereo depth without introducing additional compute overhead.

2.5 MB of Homogenous On-Chip Memory: The centralized on-chip memory architecture allows for up to 450 GB per second of internal bandwidth, minimizing latency and reducing power consumption by minimizing off-chip data transfer.

Myriad X is the newest generation in a lineage of Movidius™ VPUs, which are purpose-built for embedded visual intelligence and inference. Movidius VPUs achieve significant performance at low power with the merging of three architectural elements to provide sustained high-performance on deep learning and computer vision workloads: an array of programmable VLIW vector processors with an instruction set tuned to computer vision and deep learning workloads; a collection of hardware accelerators supporting image signal processing, computer vision, and deep learning inferences; and commonly accessible intelligent memory fabric that minimizes data movement on chip.

For more details on Movidius, an Intel company, visit the Intel newsroom’s Movidius page.

The Movidius™ Myriad™ X VPU delivers artificial intelligence at

» Download all images (ZIP, 14 MB)

1Trillion operations per second (TOPS). Maximum performance based on peak floating-point computational throughput of Neural Compute Engine.

2Architectural calculation based on the maximum operations-per-second performance over all compute units.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations, and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

The post Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge appeared first on Intel Newsroom.

Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge

movidius-myriad-specs_8_28
» Click to view full size image

Intel today introduced its new Movidius™ Myriad™ X vision processing unit (VPU), advancing Intel’s end-to-end portfolio of artificial intelligence (AI) solutions to deliver more autonomous capabilities across a wide range of product categories including drones, robotics, smart cameras and virtual reality.

More: Introducing Myriad X: Unleashing AI at the Edge (Remi El-Ouazzane Editorial) | Movidius Myriad X (Press Kit) | Movidius (Press Kit) | AI Makes Drones Smart, Easy for Photographers (Intel iQ)

Myriad X is world’s first system-on-chip (SOC) shipping with a dedicated Neural Compute Engine for accelerating deep learning inferences at the edge. The Neural Compute Engine is an on-chip hardware block specifically designed to run deep neural networks at high speed and low power without compromising accuracy, enabling devices to see, understand and respond to their environments in real time. With the introduction of the Neural Compute Engine, the Myriad X architecture is capable of 1 TOPS1 of compute performance on deep neural network inferences.

“We’re on the cusp of computer vision and deep learning becoming standard requirements for the billions of devices surrounding us every day,” said Remi El-Ouazzane, vice president and general manager of Movidius, Intel New Technology Group. “Enabling devices with humanlike visual intelligence represents the next leap forward in computing. With Myriad X, we are redefining what a VPU means when it comes to delivering as much AI and vision compute power possible, all within the unique energy and thermal constraints of modern untethered devices.”

Capable of delivering more than 4 TOPS2 of total performance, its tiny form factor and on-board processing are ideal for autonomous device solutions. In addition to its Neural Compute Engine, Myriad X uniquely combines imaging, visual processing and deep learning inference in real time with:

Programmable 128-bit VLIW Vector Processors: Run multiple imaging and vision application pipelines simultaneously with the flexibility of 16 vector processors optimized for computer vision workloads.

Increased Configurable MIPI Lanes: Connect up to 8 HD resolution RGB cameras directly to Myriad X with its 16 MIPI lanes included in its rich set of interfaces, to support up to 700 million pixels per second of image signal processing throughput.

Enhanced Vision Accelerators: Utilize over 20 hardware accelerators to perform tasks such as optical flow and stereo depth without introducing additional compute overhead.

2.5 MB of Homogenous On-Chip Memory: The centralized on-chip memory architecture allows for up to 450 GB per second of internal bandwidth, minimizing latency and reducing power consumption by minimizing off-chip data transfer.

Myriad X is the newest generation in a lineage of Movidius™ VPUs, which are purpose-built for embedded visual intelligence and inference. Movidius VPUs achieve significant performance at low power with the merging of three architectural elements to provide sustained high-performance on deep learning and computer vision workloads: an array of programmable VLIW vector processors with an instruction set tuned to computer vision and deep learning workloads; a collection of hardware accelerators supporting image signal processing, computer vision, and deep learning inferences; and commonly accessible intelligent memory fabric that minimizes data movement on chip.

For more details on Movidius, an Intel company, visit the Intel newsroom’s Movidius page.

The Movidius™ Myriad™ X VPU delivers artificial intelligence at

» Download all images (ZIP, 14 MB)

1Trillion operations per second (TOPS). Maximum performance based on peak floating-point computational throughput of Neural Compute Engine.

2Architectural calculation based on the maximum operations-per-second performance over all compute units.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations, and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

The post Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge appeared first on Intel Newsroom.