IoT Innovations Challenge – #KeysightIoTChallenge

One Idea Is All It Takes

Keysight Technologies is inviting undergraduate and graduate students worldwide to participate in its IoT Innovation Challenge. To enter, students must design a low-power sensor network strategy in one of two Innovation Tracks.

Students will compete via online written and video submissions to win an all-expenses-paid trip to the Grand Final at the World Maker Faire in New York, September 21-22, 2019. Six teams will advance to the final, where they will demonstrate their prototypes live before a panel of judges.

Prizes
The Grand Champion team will win $50,000 in cash and $50,000 of select Keysight test equipment for their school. Two first-place winners in each Innovation Track will win $25,000 in cash and $25,000 of select Keysight test equipment for their school.

Pick Your Innovation Track

Track 1: Smart Land
Design a sensor network strategy to cover one sq. km. of urban area to monitor and report on one or more of the following: air quality, water quality, data quality and sound quality, for at least one year.

Track 2: Smart Water
Design a sensor network strategy to cover a major waterway area to monitor and report, on one or more of the following: acidity, turbidity, and contaminants, for at least one year.

Calling All Students!
This is your chance to make the world better for billions. Are you ready to step up and innovate? Contest open to graduate and undergraduate students. Any student graduating before the Grand Final event is also eligible to participate.

Registration opens April 2019. Contest rules are forthcoming. Sign up now to be notified when registration goes live. #KeysightIoTChallenge

Signup here

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#KeysightIoTChallenge

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AI computer holds promise for millions of intelligent systems

At this week’s GPU Technology Conference in San Jose, California this week, Nvidia has announced an artificial intelligence (AI) computer that makes it possible to create millions of intelligent systems.

There are two versions of the Nvidia CUDA-X Jetson Nano computer, a $99 development kit for developers and makers, and a production-ready module, priced at $129 for companies to create mass-market edge systems.

The small CUDA-X AI computer delivers 472GFLOPS of compute performance for running modern AI workloads and is power-efficient, consuming as little as 5W.

Jetson Nano supports high-resolution sensors, can process many sensors in parallel and can run multiple modern neural networks on each sensor stream. It also supports many popular AI frameworks, allowing developers to integrate preferred models and frameworks.

The Jetson Nano developer kit is priced to bring the power of modern AI to a low-cost platform, for makers, inventors, developers and students to build AI projects, for example mobile robots and drones, digital assistants and automated appliances.

The kit includes support for full desktop Linux and is compatible with many popular peripherals and accessories. Ready-to-use projects and tutorials are included to help makers get started with AI fast.

The Jetson Nano module can be used in embedded applications, including network video recorders, home robots and intelligent gateways with full analytics capabilities.

The design includes power management, clocking, memory and fully accessible input/outputs. The AI workloads are entirely software defined, allowing companies to update performance and capabilities even after the system has been deployed.

To help customers easily move AI and machine learning (ML) workloads to the edge, Nvidia has worked with Amazon Web Services (AWS) to qualify AWS Internet of Things Greengrass to run optimally with Jetson-powered devices such as Jetson Nano.

Nvidia CUDA-X is made up of over 40 acceleration libraries for graphics processing unit (GPU) -accelerated computing. JetPack SDK is built on CUDA-X and is a complete AI software stack with accelerated libraries for deep learning, computer vision, computer graphics and multimedia processing that supports all of the Nvidia Jetson family, including Jetson AGX Xavier for fully autonomous machines and Jetson TX2 for AI at the edge.

JetPack includes the latest versions of CUDA, cuDNN, TensorRT and a full desktop Linux OS.

A reference platform has also be created to minimise the time spent on initial hardware assembly.

http://www.nvidia.com

> Read More

AI computer holds promise for millions of intelligent systems

At this week’s GPU Technology Conference in San Jose, California this week, Nvidia has announced an artificial intelligence (AI) computer that makes it possible to create millions of intelligent systems.

There are two versions of the Nvidia CUDA-X Jetson Nano computer, a $99 development kit for developers and makers, and a production-ready module, priced at $129 for companies to create mass-market edge systems.

The small CUDA-X AI computer delivers 472GFLOPS of compute performance for running modern AI workloads and is power-efficient, consuming as little as 5W.

Jetson Nano supports high-resolution sensors, can process many sensors in parallel and can run multiple modern neural networks on each sensor stream. It also supports many popular AI frameworks, allowing developers to integrate preferred models and frameworks.

The Jetson Nano developer kit is priced to bring the power of modern AI to a low-cost platform, for makers, inventors, developers and students to build AI projects, for example mobile robots and drones, digital assistants and automated appliances.

The kit includes support for full desktop Linux and is compatible with many popular peripherals and accessories. Ready-to-use projects and tutorials are included to help makers get started with AI fast.

The Jetson Nano module can be used in embedded applications, including network video recorders, home robots and intelligent gateways with full analytics capabilities.

The design includes power management, clocking, memory and fully accessible input/outputs. The AI workloads are entirely software defined, allowing companies to update performance and capabilities even after the system has been deployed.

To help customers easily move AI and machine learning (ML) workloads to the edge, Nvidia has worked with Amazon Web Services (AWS) to qualify AWS Internet of Things Greengrass to run optimally with Jetson-powered devices such as Jetson Nano.

Nvidia CUDA-X is made up of over 40 acceleration libraries for graphics processing unit (GPU) -accelerated computing. JetPack SDK is built on CUDA-X and is a complete AI software stack with accelerated libraries for deep learning, computer vision, computer graphics and multimedia processing that supports all of the Nvidia Jetson family, including Jetson AGX Xavier for fully autonomous machines and Jetson TX2 for AI at the edge.

JetPack includes the latest versions of CUDA, cuDNN, TensorRT and a full desktop Linux OS.

A reference platform has also be created to minimise the time spent on initial hardware assembly.

http://www.nvidia.com

> Read More

Arrow Electronics Joins Siemens’ MindSphere Partner Program to Extend its Industrial IoT Offering

Arrow Electronics announced today that it has joined the MindSphere Partner Program, Siemens’ program for industrial IoT solution and technology providers.

MindSphere is the cloud-based, open IoT operating system from Siemens that connects products, plants, systems and machines, enabling businesses to harness the wealth of data generated by the IoT with advanced analytics. As a MindSphere Platinum Partner, Arrow has multiple technical staff trained by Siemens through the MindSphere technical curriculum, a variety of MindSphere applications in development, and a joint go-to-market agreement to assist customers in achieving substantial business value through IoT technology generally and MindSphere specifically.

Arrow’s broad portfolio of products, services and expertise enables it to address every layer of an IoT solution stack, ranging from electronic components to IT solutions. Arrow provides coverage from the edge to end-of-life, including: sensors, connectivity, cloud, analytics, security, IT infrastructure, and asset disposition. IoT solutions providers can benefit from these and other services delivered by Arrow, such as remote management and monitoring, design and integration, as well as the digital transformation solutions offered by Arrow subsidiary eInfochips.

As a member of the Siemens MindSphere Partner Program, Arrow can offer market-ready solutions including Retrofit – which enables companies to integrate old industrial equipment with the new – smart city and end-to-end asset tracking. These, together with analytics services, help to keep the barriers to starting a new project low.

Aiden Mitchell, vice president of IoT global solutions, Arrow Electronics, said, “This arrangement with Siemens enables us to offer our customers leading industrial IoT solutions to solve their digital transformation challenges across their manufacturing enterprises. Arrow is well positioned to initiate and orchestrate all stages of industrial IoT projects, including hardware, software and technical – as well as business – services.”

Paul Kaeley, senior vice president, global partner ecosystem, Siemens PLM Software, said, “Arrow’s vision of IoT, “From Sensor to Sunset,” fits perfectly with the transformative business opportunities of introducing Siemens’ MindSphere IoT operating system into client environments. This offers complete solutions enabling businesses to deploy and manage secure pre-connected intelligent sensors and high-end devices throughout their entire lifecycle globally.”

Arrow will have a presence in the MindSphere Lounge at the Hanover Fair (Hall 9) where it will showcase the breadth of the company’s Industrial IoT offering.

Detailed information about Arrow’s operations can be found by visiting www.arrow.com

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