The document provides an overview of the Intel Internet of Things Developer Kit. It discusses the various hardware kits available, including the Intel Galileo, Edison and various sensor kits. It also describes the software tools and libraries, cloud services, and the overall Intel IoT developer program which includes roadshows, online communities and support for developers.
Lab Handson: Power your Creations with Intel Edison!Codemotion
by Francesco Baldassarri - Come along and play with Intel Edison, for the Internet of Things? Learn about the Developer Kit for IoT, chose your preferred environment and test it – or test all the possibilities? We will be providing information and hands on training for developers interested in testing our solutions in C/C++, Javascript, Arduino, Wyliodrin and Python. Just bring you laptop and we will help you to get started. We will also provide information about our Cloud Analytics platform, and test hardware samples with the Grove Starter Kit – Intel IoT Edition. Visit us anytime and start making! What will you make?
Interacting with Intel Edison
with Esther Jun Kim
Presented at FITC Toronto 2015
More info at www.fitc.ca
OVERVIEW
This talk will introduce the audience to Intel Edison, Intel’s newest maker platform. It will show how Edison can be transformed into a smart, natural device by teaching it to see and hear while retaining its small form factor.
The talk will also briefly describe how to interface Edison with simple supplementary hardware to create a programmable, voice-controlled system.
OBJECTIVE
Highlight the possibilities of Speech Interaction with Maker Devices.
TARGET AUDIENCE
Developers, designers, programmers.
FIVE THINGS AUDIENCE MEMBERS WILL LEARN
What’s Intel Edison.
How Language Models Work.
Simple Circuits.
About LEDs.
Voice Interaction.
A talk I gave at Hackware v1.9 about my experience in using an Intel Edison in my company's product.
The video of my talk can be found here: https://engineers.sg/v/828
Lab Handson: Power your Creations with Intel Edison!Codemotion
by Francesco Baldassarri - Come along and play with Intel Edison, for the Internet of Things? Learn about the Developer Kit for IoT, chose your preferred environment and test it – or test all the possibilities? We will be providing information and hands on training for developers interested in testing our solutions in C/C++, Javascript, Arduino, Wyliodrin and Python. Just bring you laptop and we will help you to get started. We will also provide information about our Cloud Analytics platform, and test hardware samples with the Grove Starter Kit – Intel IoT Edition. Visit us anytime and start making! What will you make?
Interacting with Intel Edison
with Esther Jun Kim
Presented at FITC Toronto 2015
More info at www.fitc.ca
OVERVIEW
This talk will introduce the audience to Intel Edison, Intel’s newest maker platform. It will show how Edison can be transformed into a smart, natural device by teaching it to see and hear while retaining its small form factor.
The talk will also briefly describe how to interface Edison with simple supplementary hardware to create a programmable, voice-controlled system.
OBJECTIVE
Highlight the possibilities of Speech Interaction with Maker Devices.
TARGET AUDIENCE
Developers, designers, programmers.
FIVE THINGS AUDIENCE MEMBERS WILL LEARN
What’s Intel Edison.
How Language Models Work.
Simple Circuits.
About LEDs.
Voice Interaction.
A talk I gave at Hackware v1.9 about my experience in using an Intel Edison in my company's product.
The video of my talk can be found here: https://engineers.sg/v/828
Phil Handschin, technical consultant, MediaTek Labs, gives a master class on the MediaTek LinkIt ONE development board at the Russian Geek Picnics in Moscow and St Petersburg in June 2015. The board is powered by the world’s smallest commercial System-on-Chip (SOC) for wearables, the MediaTek MT2502. The LinkIt SDK for Arduino makes it very easy for developers to start creating their own wearable and IoT devices.
Phil gave an introduction to the board and the SDK and a walk through of some example code – everything you could need to go away and get started.
Find out more about the LinkIt ONE development platform: http://labs.mediatek.com/linkitone
Get the tools you need to build your own Wearables and IoT devices, register now: http://labs.mediatek.com/register
In this free 30 minute live webinar, followed by Q&A, you'll learn all about the new MediaTek LinkIt Smart 7688 development platform, the open-source Wi-Fi platform for a more connected world.
The MediaTek LinkIt™ Smart 7688 development platform enables rapid development of Wi-Fi enabled products for the smart home and office, such as advanced IP cameras, surveillance devices, and smart appliances.
In this webinar you will learn about:
• The architecture and capabilities of the MediaTek LinkIt Smart 7688
• How to undertake rapidly develop of Wi-Fi enabled products using Arduino, Python, Node.js or C/C++
Presented by Ajith KP, technical consultant, MediaTek Labs.
Checkout LinkIt Smart 7688 at http://labs.mediatek.com/7688
Designed keeping in mind the latest technology on a single board. It is really easy to design, experiment with, and test circuitry without soldering. Students can explore a wide variety of electronic concepts simply by placing components on to the breadboard. It is very useful in electronics laboratories for performing IoT experiments. It is also useful to build and test circuits as well as making projects related to IoT integrating with the cloud platform. visit https://researchdesignlab.com/esp32-development-board-trainer-kit.html for more details
Building Connected IoT Gadgets with Particle.io & AzureNick Landry
The Internet of Things (IoT) extends your reach as a software developer into the world of diverse hardware devices controlled by your code, and powered by the cloud. Connectivity is a key component in IoT. Without it, all you have is a normal “thing” that is always offline. Connecting devices isn’t always easy however, requiring custom chips, boards or shields and their associated drivers & libraries. A new generation of maker boards is now emerging – many thanks to successful crowdfunding campaigns – featuring built-in wireless hardware and everything you need to easily connect to the cloud. One of the most popular of such boards is the Particle Photon (formerly known as Spark, see https://www.particle.io) which features a built-in Wi-Fi in a small & affordable package. The Photon is a $19 development kit for creating Wi-Fi connected products, and the spiritual sequel of the Spark Core. Particle uses Wiring, the same code framework as Arduino. This session is your introduction to building connected IoT gadgets with Particle hardware. We’ll explore the hardware & shield options, and the software platform used to program it, including both the Web and desktop IDEs. We’ll cover device setup, the command-line interface, and debugging tools. Next we’ll look at common maker scenarios and we’ll connect our gadgets to Azure – including IoT Hubs, Event Hubs and Mobile App Services – and integrate our cloud solutions with Particle’s REST API. Beginner and veteran makers are welcome to join.
Echelon Indonesia 2016 - Innovation Through Opportunities in IoT & ArduinoAndri Yadi
In Echelon Indonesia 2016, April 5, I talked about what IoT and Arduino are all about, technological perspective in IoT, and some opportunities around IoT where we can innovate. I also gave my view on IoT market and players in Indonesia.
It's exciting time!
Road to Republic of IoT - ESP32 Programming and LoRaAndri Yadi
To promote Republic of IoT (RIoT) hackathon, we do roadshow to few cities in Indonesia and this time in Bogor. Here, I talked about technologies will be used during hackathon, especially LoRa and ESP32.
Hands-on Labs: Raspberry Pi 2 + Windows 10 IoT CoreAndri Yadi
I used this deck to guide through the participants for hands-on labs (HOL) of Raspberry Pi 2 and Windows 10 IoT Core, during Bandung IoT Developer Day episode 2 on Feb 6, 2016. The deck also contains some updates on Windows 10 IoT Core from my previous similar talks. So make sure to get it :)
MicroEJ OS and Edje: the software foundation for IoT devicesMicroEJ
The edge devices connected to the Cloud that constitute the Internet of Things (IoT) require support for building blocks, standards and frameworks like those provided by the Eclipse Foundation projects: Californium, Paho, Leshan, Kura, Mihini, etc. Because of the large deployment of Java technology in the Cloud, on the PC, mobile and server sides, most projects above are implemented in Java technology. Deploying these technologies on embedded devices requires a scalable IoT software platform that can support the hardware foundations of the IoT: microcontrollers (MCU). MCU delivered by companies like STMicroelectronics, NXP+Freescale, Renesas, Atmel, Microchip, etc. are small low-cost low-power 32-bit processors designed for running software in resource-constraint environments: low memory (typically KB), flash (typically MB) and frequency (typically MHz).
The Edje project defines a standard high-level Java API called Hardware Abstraction Layer (HAL) for accessing hardware features delivered by microcontrollers such as GPIO, DAC, ADC, PWM, etc. that can directly connect to native libraries, drivers and board support packages provided by silicon vendors with their evaluation kits.
MicroEJ® Operating System (OS) is a scalable OS for resource-constrained embedded and IoT devices running on 32-bit microcontrollers or microprocessors. MicroEJ OS allows devices to run multiple and mixed Java and C software applications.
This talk aims at presenting the packages that constitute the core of Edje and its reference implementation developed over MicroEJ OS on a STM32F7 discovery kit.
Eclipse Edje: A Java API for MicrocontrollersMicroEJ
The Eclipse Edje project, initiated by MicroEJ, defines a standard high-level Java API for accessing hardware features delivered by 32-bit microcontrollers for using serial links, general purpose inputs/outputs, or digital/analog converters. MCUs are small, low-cost, low-power processors designed to run software in resource-constrained environments: low memory (typically KB), flash (typically MB) and frequency (typically MHz). MCUs are provided by silicon vendors along with evaluation kits and are typically the ideal vectors for large scale deployments of low-power and cost-effective IoT, embedded or wearable devices. Edje aims at unifying and easing the programming of apps for MCUs with the largely adopted Java language.
Eclipse IoT Edje project: the software foundation for IoT devicesMicroEJ
The edge devices connected to the Cloud that constitute the Internet of Things (IoT) require support for building blocks, standards and frameworks like those provided by the Eclipse Foundation projects: Californium, Paho, Leshan, Kura, Mihini, etc. Because of the large deployment of Java technology in the Cloud, on the PC, mobile and server sides, most projects above are implemented in Java technology. Deploying these technologies on embedded devices requires a scalable IoT software platform that can support the hardware foundations of the IoT: microcontrollers (MCU). MCU delivered by companies like STMicroelectronics, NXP+Freescale, Renesas, Atmel, Microchip, etc. are small low-cost low-power 32-bit processors designed for running software in resource-constraint environments: low memory (typically KB), flash (typically MB) and frequency (typically MHz). The Edje project defines a standard high-level Java API called Hardware Abstraction Layer (HAL) for accessing hardware features delivered by microcontrollers such as GPIO, DAC, ADC, PWM, etc. that can directly connect to native libraries, drivers and board support packages provided by silicon vendors with their evaluation kits. This talk aims at presenting the packages and API that constitute the core of Edje, defining the minimal foundation that iot.eclipse.org projects can rely on, and still compatible with economical constraints of the IoT: footprint.
Know about the various software used for electronic design automation. Also, learn what are the various courses offered by Livewire Vadapalani for electronic design automation.
Confusion of Things — The IoT Hardware KerfuffleOmer Kilic
Presented at OSHCamp 2015, as part of Wuthering Bytes at Hebden Bridge
While the definition of the term IoT (i.e: Internet of Things) is as cloudy as the “cloud”, everyone seems to be doing it. With excitement levels reaching stratospheric levels, the amount of buzzword-driven articles and colourful (and oh so unnecessary) abstract vector drawings that depict toasters communicating with cars have essentially made lives of many engineers who just want to build things a living hell.
This talk will strip back the layers of marketing and aim to answer the question: “Which hardware platform should you use for building connected devices?”. With the plethora of chips/single board computers and specifically IoT-branded offerings out there, the platform choice does get a little difficult at times. By breaking down the application at hand into certain key requirement categories, this process could be simplified. There will also be mention of some of the most popular hardware platforms and how they differ from each other.
Phil Handschin, technical consultant, MediaTek Labs, gives a master class on the MediaTek LinkIt ONE development board at the Russian Geek Picnics in Moscow and St Petersburg in June 2015. The board is powered by the world’s smallest commercial System-on-Chip (SOC) for wearables, the MediaTek MT2502. The LinkIt SDK for Arduino makes it very easy for developers to start creating their own wearable and IoT devices.
Phil gave an introduction to the board and the SDK and a walk through of some example code – everything you could need to go away and get started.
Find out more about the LinkIt ONE development platform: http://labs.mediatek.com/linkitone
Get the tools you need to build your own Wearables and IoT devices, register now: http://labs.mediatek.com/register
In this free 30 minute live webinar, followed by Q&A, you'll learn all about the new MediaTek LinkIt Smart 7688 development platform, the open-source Wi-Fi platform for a more connected world.
The MediaTek LinkIt™ Smart 7688 development platform enables rapid development of Wi-Fi enabled products for the smart home and office, such as advanced IP cameras, surveillance devices, and smart appliances.
In this webinar you will learn about:
• The architecture and capabilities of the MediaTek LinkIt Smart 7688
• How to undertake rapidly develop of Wi-Fi enabled products using Arduino, Python, Node.js or C/C++
Presented by Ajith KP, technical consultant, MediaTek Labs.
Checkout LinkIt Smart 7688 at http://labs.mediatek.com/7688
Designed keeping in mind the latest technology on a single board. It is really easy to design, experiment with, and test circuitry without soldering. Students can explore a wide variety of electronic concepts simply by placing components on to the breadboard. It is very useful in electronics laboratories for performing IoT experiments. It is also useful to build and test circuits as well as making projects related to IoT integrating with the cloud platform. visit https://researchdesignlab.com/esp32-development-board-trainer-kit.html for more details
Building Connected IoT Gadgets with Particle.io & AzureNick Landry
The Internet of Things (IoT) extends your reach as a software developer into the world of diverse hardware devices controlled by your code, and powered by the cloud. Connectivity is a key component in IoT. Without it, all you have is a normal “thing” that is always offline. Connecting devices isn’t always easy however, requiring custom chips, boards or shields and their associated drivers & libraries. A new generation of maker boards is now emerging – many thanks to successful crowdfunding campaigns – featuring built-in wireless hardware and everything you need to easily connect to the cloud. One of the most popular of such boards is the Particle Photon (formerly known as Spark, see https://www.particle.io) which features a built-in Wi-Fi in a small & affordable package. The Photon is a $19 development kit for creating Wi-Fi connected products, and the spiritual sequel of the Spark Core. Particle uses Wiring, the same code framework as Arduino. This session is your introduction to building connected IoT gadgets with Particle hardware. We’ll explore the hardware & shield options, and the software platform used to program it, including both the Web and desktop IDEs. We’ll cover device setup, the command-line interface, and debugging tools. Next we’ll look at common maker scenarios and we’ll connect our gadgets to Azure – including IoT Hubs, Event Hubs and Mobile App Services – and integrate our cloud solutions with Particle’s REST API. Beginner and veteran makers are welcome to join.
Echelon Indonesia 2016 - Innovation Through Opportunities in IoT & ArduinoAndri Yadi
In Echelon Indonesia 2016, April 5, I talked about what IoT and Arduino are all about, technological perspective in IoT, and some opportunities around IoT where we can innovate. I also gave my view on IoT market and players in Indonesia.
It's exciting time!
Road to Republic of IoT - ESP32 Programming and LoRaAndri Yadi
To promote Republic of IoT (RIoT) hackathon, we do roadshow to few cities in Indonesia and this time in Bogor. Here, I talked about technologies will be used during hackathon, especially LoRa and ESP32.
Hands-on Labs: Raspberry Pi 2 + Windows 10 IoT CoreAndri Yadi
I used this deck to guide through the participants for hands-on labs (HOL) of Raspberry Pi 2 and Windows 10 IoT Core, during Bandung IoT Developer Day episode 2 on Feb 6, 2016. The deck also contains some updates on Windows 10 IoT Core from my previous similar talks. So make sure to get it :)
MicroEJ OS and Edje: the software foundation for IoT devicesMicroEJ
The edge devices connected to the Cloud that constitute the Internet of Things (IoT) require support for building blocks, standards and frameworks like those provided by the Eclipse Foundation projects: Californium, Paho, Leshan, Kura, Mihini, etc. Because of the large deployment of Java technology in the Cloud, on the PC, mobile and server sides, most projects above are implemented in Java technology. Deploying these technologies on embedded devices requires a scalable IoT software platform that can support the hardware foundations of the IoT: microcontrollers (MCU). MCU delivered by companies like STMicroelectronics, NXP+Freescale, Renesas, Atmel, Microchip, etc. are small low-cost low-power 32-bit processors designed for running software in resource-constraint environments: low memory (typically KB), flash (typically MB) and frequency (typically MHz).
The Edje project defines a standard high-level Java API called Hardware Abstraction Layer (HAL) for accessing hardware features delivered by microcontrollers such as GPIO, DAC, ADC, PWM, etc. that can directly connect to native libraries, drivers and board support packages provided by silicon vendors with their evaluation kits.
MicroEJ® Operating System (OS) is a scalable OS for resource-constrained embedded and IoT devices running on 32-bit microcontrollers or microprocessors. MicroEJ OS allows devices to run multiple and mixed Java and C software applications.
This talk aims at presenting the packages that constitute the core of Edje and its reference implementation developed over MicroEJ OS on a STM32F7 discovery kit.
Eclipse Edje: A Java API for MicrocontrollersMicroEJ
The Eclipse Edje project, initiated by MicroEJ, defines a standard high-level Java API for accessing hardware features delivered by 32-bit microcontrollers for using serial links, general purpose inputs/outputs, or digital/analog converters. MCUs are small, low-cost, low-power processors designed to run software in resource-constrained environments: low memory (typically KB), flash (typically MB) and frequency (typically MHz). MCUs are provided by silicon vendors along with evaluation kits and are typically the ideal vectors for large scale deployments of low-power and cost-effective IoT, embedded or wearable devices. Edje aims at unifying and easing the programming of apps for MCUs with the largely adopted Java language.
Eclipse IoT Edje project: the software foundation for IoT devicesMicroEJ
The edge devices connected to the Cloud that constitute the Internet of Things (IoT) require support for building blocks, standards and frameworks like those provided by the Eclipse Foundation projects: Californium, Paho, Leshan, Kura, Mihini, etc. Because of the large deployment of Java technology in the Cloud, on the PC, mobile and server sides, most projects above are implemented in Java technology. Deploying these technologies on embedded devices requires a scalable IoT software platform that can support the hardware foundations of the IoT: microcontrollers (MCU). MCU delivered by companies like STMicroelectronics, NXP+Freescale, Renesas, Atmel, Microchip, etc. are small low-cost low-power 32-bit processors designed for running software in resource-constraint environments: low memory (typically KB), flash (typically MB) and frequency (typically MHz). The Edje project defines a standard high-level Java API called Hardware Abstraction Layer (HAL) for accessing hardware features delivered by microcontrollers such as GPIO, DAC, ADC, PWM, etc. that can directly connect to native libraries, drivers and board support packages provided by silicon vendors with their evaluation kits. This talk aims at presenting the packages and API that constitute the core of Edje, defining the minimal foundation that iot.eclipse.org projects can rely on, and still compatible with economical constraints of the IoT: footprint.
Know about the various software used for electronic design automation. Also, learn what are the various courses offered by Livewire Vadapalani for electronic design automation.
Confusion of Things — The IoT Hardware KerfuffleOmer Kilic
Presented at OSHCamp 2015, as part of Wuthering Bytes at Hebden Bridge
While the definition of the term IoT (i.e: Internet of Things) is as cloudy as the “cloud”, everyone seems to be doing it. With excitement levels reaching stratospheric levels, the amount of buzzword-driven articles and colourful (and oh so unnecessary) abstract vector drawings that depict toasters communicating with cars have essentially made lives of many engineers who just want to build things a living hell.
This talk will strip back the layers of marketing and aim to answer the question: “Which hardware platform should you use for building connected devices?”. With the plethora of chips/single board computers and specifically IoT-branded offerings out there, the platform choice does get a little difficult at times. By breaking down the application at hand into certain key requirement categories, this process could be simplified. There will also be mention of some of the most popular hardware platforms and how they differ from each other.
Peripheral Programming using Arduino and Python on MediaTek LinkIt Smart 7688...MediaTek Labs
Want to add Wi-Fi to your IoT project? This 30 minute webinar, presented by technical consultant Ajith KP, demonstrated how to program (using Arduino and Python) for peripheral sensors connected to the MediaTek LinkIt Smart 7688 Duo’s microcontroller and how to communicate between the microcontroller and the MT7688 SOC.
Three ways to undertake the peripheral programming for the MediaTek LinkIt Smart 7688 Duo were covered:
1) Using a primitive UART connection
2) Using the Firmata protocol
3) Using the Arduino Yun Bridge Library
A recording of the live event can be found at http://home.labs.mediatek.com/technical-mediatek-linkit-smart-7688-webinar-recording-available/
Developing IoT Applications Using Intel® System Studio | Eclipse IoT Day Sant...Eclipse IoT
Intel® System Studio is based on the Eclipse CDT project and offers a comprehensive set of tools under a free and renewable licensing model. This software suite allows you to build, debug, analyze and optimize applications and can be used throughout the entire development cycle from hardware bring-up to deploying the final product. During this presentation, we will introduce you to Intel® System Studio and show how to develop and debug IoT and systems applications. This includes running them locally and remotely on popular Intel Developer Kit platforms like the Aaeon UP2 and IEI Tank, as well as enhancing applications through cloud connectors, sensors, and libraries.
//SPEAKER
Anjali Gola, Intel
WKS420 Create an IoT Gateway & Establish a Data Pipeline to AWS IoT with IntelAmazon Web Services
"In this session, you will learn how to create a complete Gateway based IoT framework – from the edge to the cloud and back. By utilizing an IoT Gateway as a central data collection, processing, and communication hub, you will be able to create IoT connectivity without having to replace legacy hardware. We will show you how to use an Intel NUC gateway and Arduino 101 sensor hub to gather environmental data and step you through establishing a data pipeline to AWS IoT. We will use AWS Lambda to create a rules engine for your data and then send a control signal back down the Intel Gateway.
Learning Objectives:
Gather data locally on a Gateway
Establish connection to AWS IoT
Pass data from AWS IoT to AWS Lambda for processing
Send a control signal back to the Gateway from AWS IoT"
Session
Speaker: George Kortsaridis is a Software engineer graduate at University of Western Macedonia.
George is a mobile deveLOVER, who has been developing on the Android and iOS platform for many years, and turned into a full stack mobile developer. He specializes in VR development, and he is a co-organizer of GDG Thessaloniki chapter.
Abstract:
ANROID THINGS is coming to town! Together, we will dive into more details about the I.O.T architecture, and we will learn how to code our awesome projects and hack our way to the top!
It's technical and live coding talk that I delivered on Bandung Digital Valley's TechThursday program. In which I discuss deeply about ESP8266 development, Azure IoT Hub cloud and DycodeX's iothub.id cloud, and working with HomeKit framework on iOS and integration with Siri.
Presentation on Microsoft Technologies in Teaching, Learning and Research presented at Microsoft IT Academy Summit 2011 October. - Presentation Video in low quality to allow upload
WKS420 Create an IoT Gateway & Establish a Data Pipeline to AWS IoT with IntelAmazon Web Services
In this session, you will learn how to create a complete Gateway based IoT framework – from the edge to the cloud and back. By utilizing an IoT Gateway as a central data collection, processing, and communication hub, you will be able to create IoT connectivity without having to replace legacy hardware. We will show you how to use an Intel NUC gateway and Arduino 101 sensor hub to gather environmental data and step you through establishing a data pipeline to AWS IoT. We will use AWS Lambda to create a rules engine for your data and then send a control signal back down the Intel Gateway.
Learning Objectives:
Gather data locally on a Gateway
Establish connection to AWS IoT
Pass data from AWS IoT to AWS Lambda for processing
Send a control signal back to the Gateway from AWS IoT
Edje Project: The Software Foundation for IoT DevicesMicroEJ
The Eclipse IoT Edje project includes a Hardware Abstraction Java API for the IoT embedded systems. It targets resource-constrained microcontrollers, provides ready-to-use software packages for target hardware, and defines a modular and easy to port framework.
More about Edje Project: http://www.microej.com/portfolio-item/microej-present-eclipse-edje-open-source-iot-project-eclipsecon/
AI for All: Biology is eating the world & AI is eating Biology Intel® Software
Advances in cell biology and creation of an immense amount of data are converging with advances in Machine learning to analyze this data. Biology is experiencing its AI moment and driving the massive computation involved in understanding biological mechanisms and driving interventions. Learn about how cutting edge technologies such as Software Guard Extensions (SGX) in the latest Intel Xeon Processors and Open Federated Learning (OpenFL), an open framework for federated learning developed by Intel, are helping advance AI in gene therapy, drug design, disease identification and more.
Python Data Science and Machine Learning at Scale with Intel and AnacondaIntel® Software
Python is the number 1 language for data scientists, and Anaconda is the most popular python platform. Intel and Anaconda have partnered to bring scalability and near-native performance to Python with simple installations. Learn how data scientists can now access oneAPI-optimized Python packages such as NumPy, Scikit-Learn, Modin, Pandas, and XGBoost directly from the Anaconda repository through simple installation and minimal code changes.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
AI for good: Scaling AI in science, healthcare, and more.Intel® Software
How do we scale AI to its full potential to enrich the lives of everyone on earth? Learn about AI hardware and software acceleration and how Intel AI technologies are being used to solve critical problems in high energy physics, cancer research, financial inclusion, and more. Get started on your AI Developer Journey @ software.intel.com/ai
Software AI Accelerators: The Next Frontier | Software for AI Optimization Su...Intel® Software
Software AI Accelerators deliver orders of magnitude performance gain for AI across deep learning, classical machine learning, and graph analytics and are key to enabling AI Everywhere. Get started on your AI Developer Journey @ software.intel.com/ai.
Advanced Techniques to Accelerate Model Tuning | Software for AI Optimization...Intel® Software
Learn about the algorithms and associated implementations that power SigOpt, a platform for efficiently conducting model development and hyperparameter optimization. Get started on your AI Developer Journey @ software.intel.com/ai.
Reducing Deep Learning Integration Costs and Maximizing Compute Efficiency| S...Intel® Software
oneDNN Graph API extends oneDNN with a graph interface which reduces deep learning integration costs and maximizes compute efficiency across a variety of AI hardware including AI accelerators. Get started on your AI Developer Journey @ software.intel.com/ai.
AWS & Intel Webinar Series - Accelerating AI ResearchIntel® Software
Scale your research workloads faster with Intel on AWS. Learn how the performance and productivity of Intel Hardware and Software help bridge the gap between ideation and results in Data Science. Get started on your AI Developer Journey @ software.intel.com/ai.
Whether you are an AI, HPC, IoT, Graphics, Networking or Media developer, visit the Intel Developer Zone today to access the latest software products, resources, training, and support. Test-drive the latest Intel hardware and software products on DevCloud, our online development sandbox, and use DevMesh, our online collaboration portal, to meet and work with other innovators and product leaders. Get started by joining the Intel Developer Community @ software.intel.com.
Advanced Single Instruction Multiple Data (SIMD) Programming with Intel® Impl...Intel® Software
Explore practical elements, such as performance profiling, debugging, and porting advice. Get an overview of advanced programming topics, like common design patterns, SIMD lane interoperability, data conversions, and more.
Build a Deep Learning Video Analytics Framework | SIGGRAPH 2019 Technical Ses...Intel® Software
Explore how to build a unified framework based on FFmpeg and GStreamer to enable video analytics on all Intel® hardware, including CPUs, GPUs, VPUs, FPGAs, and in-circuit emulators.
Review state-of-the-art techniques that use neural networks to synthesize motion, such as mode-adaptive neural network and phase-functioned neural networks. See how next-generation CPUs with reinforcement learning can offer better performance.
RenderMan*: The Role of Open Shading Language (OSL) with Intel® Advanced Vect...Intel® Software
This talk focuses on the newest release in RenderMan* 22.5 and its adoption at Pixar Animation Studios* for rendering future movies. With native support for Intel® Advanced Vector Extensions, Intel® Advanced Vector Extensions 2, and Intel® Advanced Vector Extensions 512, it includes enhanced library features, debugging support, and an extensive test framework.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
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• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
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To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Overview of the Intel® Internet of Things Developer Kit
1. Overview of the Intel® Internet of Things
Developer Kit
Daniel Holmlund – Software Engineer, IoT Developer Program, Intel
Corporation
Stewart Christie – Community Manager, IoT Developer Program, Intel
Corporation
MOBS006
2. 2
•Development Kits Introduction
•Intel® Hardware for Internet of Things (IoT)
•Intel Developer Program for IoT
•Software for IoT
•Demos
Agenda
3. 3
Intel Development Kits for Internet of Things
Intel®Development Kit for IoT
software.intel.com/IoT
Intel® Gateway Solutions DevelopmentKits
3rdParty ODMDev Kits
Galileo
Edison
DK 50 Series
DK 100 Series
DK 200 Series
DK 300 Series
IBM*Bluemix
AT&T*
Compute
Intel® Quark™ SoC
X1000
Intel® Atom™ SoC
Tangiers
Intel QuarkSoCX1000
Intel Quark SoC X1020D
Intel Quark SoC X1020D
Intel Atom Processor E3826
Kit Contents
Board,Cables,Starterkit,powersupply
Board and Power Supply Only
Board, radio(s), chassis, power supply
Board, radio(s), chassis, power supply
Board, radio(s), chassis, power supply
Cloud
•IOT CloudAgent: IoTAnalytics Platform as a Service
•MasheryAPI Network
Enabled with thirdparty Cloud solutions
Software Components:
•Arduino Visual prog*
•JavaScript*C++
•WRS VxWorks* Python*
•Intel System Studio Sensor & Actuator lib
Wind River Linux* OS,
Intelligent Device Platform XT,
WindRiver Workbench Tools,
McAfee Embedded Control
Software License
Mixof Open source& non-production licenses
Non-production, 6 Month Term Licensew/ support from Intel
Commercial license
Support
Community
Community
Intel Application Design Center
Intel Application Design Center
Intel Application Design Center
Intel Application Design Center
Cost
Free at Roadshows; $100 online
Free at Roadshows
$120online
$200
$3000
$3000
$3000?
Target Markets
Innovation vehicle
Innovation vehicle
Innovationvehicle
Industrial & Energy
Transportation
Multi Vertical
Availability
Beta Launch
BetaLaunch
Launched
Launched
Launched
WW35-38
5. 5
Intel® Edison –Arduino*Development Board
Board I/O: Compatible with Arduino*Uno (except only 4 PWM instead of 6 PWM)
•20 digital input/output pins including 4 pins as PWM outputs
•6 analog inputs
•1 UART (RX/TX)
•1 I2C
•1 ICSP 6-pin header (SPI)
•Micro USB device connector OR (via mechanical switch) dedicated standard size USB host Type-A connector
•Micro USB device (connected to UART)
•SD Card connector
•DC power jack (7V –15V DC input)
6. 6
Intel® Galileo Development Board –Gen 2
Board I/O:
•Mechanically compatible with Arduino*Uno
•20 digital input/output pins including 6 pins as PWM outputs
•6 analog inputs
•2 UART (RX/TX)
•1 I2C
•1 ICSP 6-pin header (SPI)
•USB device connector (Host)
•Micro USB device connector (client)
•SD Card connector
•DC power jack (7V –15V DC input)
7. 7
Grove Starter Kit Plus -IoTVersion
1
Base Shield v2
2
Grove -Buzzer V1.1
3
Grove –Button
4
Grove-LED v1.3
5
Grove -Sound Sensor_V1.2
6
Grove -Rotary Angle Sensor
7
Grove-Touch Sensor
8
Grove -Smart Relay
9
Grove-Light Sensor
10
Grove -Temperature Sensor_V1.1
11
26AWG Grove Cable
12
Mini Servo
13
9V to Barrel Jack Adapter -126mm
14
DIP LED Blue-Blue
15
DIP LED Green-Green
16
DIP LED Red-Red
11
Grove -LCD RGB Backlight
USB, serial and Ethernet cables
8. 8
Development Kit Hardware Bill of Materials
Arduino Board
•2nd Generation Intel® Galileo Board
•Intel® Edison Board
•Power Supply Unit
Starter
IoTDevelopment Kit to be given away for all roadshow attendees
Essential Components
•Black Ethernet Cable
•Micro USB Cable
•8GB Micro SD Memory Card
•USB to 6 –pin FTDI Serial Cable
Sensor + Actuators
•Grove Starter Kit Plus
-Intel® IoTversion
Extra Roadshow items
•PCI Express*Wi-Fi*+ Bluetooth® cards
•Air Quality, Compass, Gyro and Acceleration sensors
•Extra servos, and actuators
•Cables and connectors
Roadshows are two day events located at a hackerspacewith access to prototyping tools and materials.
10. 10
A comprehensive developer program for hobbyists, students and entrepreneurial developers with outreach, training and tools required to rapidly develop, test and deploy applications for the Internet of Things (IoT).
Program includes:
•Developer kit based on Intel® Galileo and Edison Technology with package of easy to use hardware, software tools, libraries and cloud services
•10 City IoTRoadshow distributing 1,000 kits
•On-line community for learning, building, sharing
Join the community today at software.intel.com/IoT
Intel® Developer Program for Internet of Things
11. 11
Target Audience and Developer Path
Arduino*
Developer
Arduino
Developer
Visual Programming
(Galileo Only)
JavaScript*
Developer
Wind River
(Galileo only)
C / C++
Developer
Target
Audience
Maker
Beginner
Intermediate
Advanced
Advanced
Professional
Tools/ Libraries
OS /
Boot Image
Yocto*Linux
SPI
YoctoLinux
YoctoLinux
YoctoLinux
VxWorks*
ArduinoLIbraries
Wyliodrin
XDK
ISS
IDE
Dev Env
ArduinoIDE
Windows*/ Mac*/ Linux*
Wyliodrin
Web
XDK
Win/ Mac/ Linux
Eclipse
Win/ Mac / Linux
WR Eclipse
Win / Linux
Programming
Language
ArduinoSketch
C++
Visual
Python
JavaScript
(Node JS)
C/ C++
C / C++
Work Bench / ISS
Cloud
IoTCloud Analytics
IoTCloud Analytics Widget
IoTCloud Analytics
Mashery/ 3rdparty
IoTCloud Analytics
Mashery/ 3rdParty
WR Cloud
12. 12
Intel® Developer Kit for IoTComponents
Intel® Galileo
Gen 1 & 2
Board
Intel® Edison
Arduino Development Board
Yocto*based Linux*OS image
API Bindings C/C++, Node JS, Python
UPM (Sensor/Actuator library repository)
LibMraa
NodeJSSupport
C/C++
Tool Chain
Wyliodrin
Agent
IoTCloud Agent
Hardware
SoftwaeImage on IoTplatform
Intel® XDK IoTEdition
(coming soon)
Eclipse IDE
+
ISS
(Optional)
Wyliodrin(Visual Programming)
Cloud Analytics / Mashery
IDE/ Tools
(Windows*, Mac*, Linux*)
Sensors / Actuators
Arduino*IDE
13. 13
Intel® Developer Kit for IoTComponents
A complete solution for creating IoTsolutions targeted for Intel® platforms such as Intel® Galileo board and Intel® Edison board.
•Full x86 support (Scale from Intel® Quark™ to Intel® Core™)
•Intel Galileo (Gen1/ Gen 2), Intel Edison
•Open & Standard –Yocto*Linux*based OS
•Supports full range of Linux tools and libraries
•APIs that shields hardware complexity (LibMraa)
•Sensor libraries with API bindings (UPM)
•Multiple Programming Languages (JavaScript*, C/C++, Arduino Sketches, Visual programming)
•Multiple IDEs (Intel® XDK, Eclipse, Wyliodrin, Arduino*)
•Cloud analytics & data management
•MasheryIoTRestful APIs
14. 14
Developer Kit C++ Tools (beta)
•One IDE for all three supported boards
•Ready to run sample code
•SSH Connection to developer board for remote GDB server
•Eclipse tools also work for Arduino* Sketch code build and debug
15. 15
Developer Kit JavaScript*Tools (coming soon)
•mraa–open source library for Intel® Galileo/Edison technologies used API similar to the *MBED api(Intel® IotDevkit)
•io-js-open source library for Intel Galileo/Edison technologies used API similar to the Arduino*API (Intel Labs China )
•johnny-five –Open source I/O library with plugins for various boards including Intel Galileo (Gen2 demo upstairs)
•on/off –open source i/o library that can be used to manipulate ‘raw’ GPIO/PWM via sysfsinterface
•i2c–node.js i2c library (uses sysfs)
coming soon.
JavaScript*I/O Libraries for Intel® Galileo technology
17. 17
Developer Kit Python* Tools
There is one IDE for Intel® Galileo board. Works with Generation 1 and 2.
GUI based online Python* development from Wyliodrin
Wyliodrinagent pre-installed in IotDevelopment Kits SD image.
(Intel® Galileo technology only for now)
18. 18
Program OverviewThe Intel Developer Program for the Internet of Things
The program includes:
Intel® Development Kit for IoT-The first of several Intel-based IoTdevelopment kits, create products using C/C++ and JavaScript*. (beta available now)
Cloud Infrastructure -End-to-end solutions for makers and developers prototyping, experimenting and testing new IoTsolutions.
IoTDeveloper Zone -A new on-line software community to explore, build and share IoTsolutions. Join the community at software.intel.com/IoT.
Academic Program -Intel is working with top universities and their professors to enable curriculum and inspire students to develop innovative apps on Intel’s Internet of Things technologies.
10 City Roadshow + more -A worldwide series of local hackathons and meet-ups that will bring developers together to showcase and share ideas. Intel IoTDevelopment Kits will be provided to participating developers.
A comprehensive program for hobbyists, students, and entrepreneurial developers that delivers everything a developer needs to quickly turn ideas into projects for the Internet of Things
21. 21
Libmraa
Defines the capabilities of GPIO pins,
Autodetectionof Gen 1, Gen 2 and Edison DVT
Libupm
Defines the interaction of high level sensors.
Buttons, Buzzers, LCD, LED, Light Sensor, Servos, Rotary Angle Sensor, Relays, Sound Sensors, temperature sensors … more are added continually.
Purpose of Each Library
22. 22
Identifying Your Platform
Identifying your target platform allow platform specific action to occur.
34. 34
Final Reminders
•Come to an Internet of Things Roadshow
•Download the software pieces you need, buy a sensor kit
•Build a project, publish on Instructables
•Learn more at the following IDF classes, and the Makerspacezone on 3rd floor
•Learn more at the Intel Developer Zoneat http://software.intel.com/iot
36. 36
Legal Disclaimer
Software Source Code Disclaimer: Any software source code reprinted in this document is furnished under a software license and may only be used or copied in accordance with the terms of that license.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so,subject to the following conditions:
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
37. 37
Risk Factors
The above statements and any others in this document that refer to plans and expectations for the second quarter, the year and the future are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “plans,” “believes,” “seeks,” “estimates,” “may,” “will,” “should” and their variations identify forward-looking statements. Statements that refer toor are based on projections, uncertain events or assumptions also identify forward-looking statements. Many factors could affect Intel’s actual results, and variances from Intel’s current expectations regarding such factors could cause actual results to differ materially from those expressedinthese forward-looking statements. Intel presently considers the following to be important factors that could cause actual results to differ materiallyfrom the company’s expectations. Demand for Intel's products is highly variable and, in recent years, Intel has experienced declining orders in thetraditional PC market segment. Demand could be different from Intel's expectations due to factors including changes in business and economic conditions; consumer confidence or income levels; customer acceptance of Intel’s and competitors’ products; competitive and pricing pressures, including actions taken by competitors; supply constraints and other disruptions affecting customers; changes in customer order patterns including ordercancellations; and changes in the level of inventory at customers. Intel operates in highly competitive industries and its operations have high costs that are either fixed or difficult to reduce in the short term. Intel's gross margin percentage could vary significantly from expectations based oncapacity utilization; variations in inventory valuation, including variations related to the timing of qualifying products for sale; changes in revenue levels; segment product mix; the timing and execution of the manufacturing ramp and associated costs; excess or obsolete inventory; changes in unit costs; defects or disruptions in the supply of materials or resources; and product manufacturing quality/yields. Variations in gross margin may also be caused by the timing of Intel product introductions and related expenses, including marketing expenses, and Intel's ability to respond quicklyto technological developments and to introduce new products or incorporate new features into existing products, which may result in restructuringand asset impairment charges. Intel's results could be affected by adverse economic, social, political and physical/infrastructure conditions in countries where Intel, its customers or its suppliers operate, including military conflict and other security risks, natural disasters, infrastructure disruptions, health concerns and fluctuations in currency exchange rates. Intel’s results could be affected by the timing of closing of acquisitions, divestitures and other significant transactions. Intel's results could be affected by adverse effects associated with product defects and errata (deviations from published specifications), and by litigation or regulatory matters involving intellectual property, stockholder, consumer, antitrust, disclosure and other issues, such as the litigation and regulatory matters described in Intel's SEC filings. An unfavorable ruling could include monetary damages or an injunction prohibiting Intel from manufacturing or selling one or more products, precluding particular business practices, impacting Intel’s ability to design its products, or requiring other remedies such as compulsory licensing of intellectual property. A detailed discussion of these and other factors that could affect Intel’s results is included in Intel’s SEC filings, including the company’s most recent reports on Form 10-Q, Form 10-K and earnings release.
Rev. 4/15/14