Damien George of Micro Python ( http://micropython.org/ ) presented at the Computational Intelligence Unconference. These are his slides from the lightning talk (he also did live (unfortunately unrecorded) demonstrations).
Micro Python is a lean and fast implementation of Python 3 optimized to run on microcontrollers. It was successfully funded via Kickstarter and is available under an open source license. The Micro Python board runs Micro Python on bare metal and gives a low-level Python operating system to control electronic projects. It is based on an STM32 microcontroller and includes features like USB, SD card, LEDs, and pins for input/output. Micro Python provides a minimal Python operating system and standard libraries tailored for resource-constrained microcontrollers.
MicroPython is an implementation of Python 3 optimized for microcontrollers and embedded systems. It runs on low-cost boards with as little as 256KB of flash memory and 16KB of RAM. MicroPython enables microcontrollers to be programmed using the Python language, making IoT development easier and more accessible. During the presentation, the speaker demonstrates installing MicroPython on a microcontroller board and implements a simple IoT device with sensors through live coding.
Workshop given at the MakeZurich hackathon to get the people started with MicroPython and the LoPy board from pycom. Code: https://github.com/adnexo-GmbH/lopy_ws
This document provides an introduction to using Micro Python on the ESP8266 microcontroller board. It discusses Micro Python as a Python 3 implementation optimized for microcontrollers. It then covers setting up the ESP8266 dev kit hardware and connecting it via serial to load and run Python code. Examples are given for blinking an LED, reading analog data to control a night light, connecting to WiFi, using the web REPL, and creating a basic IoT setup to send sensor data to ThingSpeak. Contact information is provided for questions.
These are my slides from my workshop on Programming Microcontrollers at DevFestLagos21. The workshop covers an introduction to MCUs as well as a walkthrough of setting up a Sparkfun Edge development board.
The presentation to introduce the Hands-on workshop we ran at Elektor Live! A chance for everyone to experiment with all sorts of interesting hardware.
Minha palestra no TDC-Porto Alegre sobre a utilização do Python como a linguagem de programação para o ESP8266, demonstrando desde o processo de gravação do firmware, conexão com o dispositivo e exemplos de programas.
Microcontrollers
No operating system, usually single core running Mhz speeds
Handles multiprocessing by interrupts
Resilient
Usually 3.3 or 5V and usually around 1 Amp (or both 3.3 and 5.0V)
Usually basic if any Internet connection
Open and global innovation
Uses serial, IC2, and other well understood hardware communication
Huge version exist for large project (i.e. Arduino Mega, drones, quadcopter versions).
Applications
Motor control, server control, robots, weather stations
Examples
Arduino, Mico:bit, M0 based controllers, AdaFruit Feather, Tensy, Beaglebon
Micro Python is a lean and fast implementation of Python 3 optimized to run on microcontrollers. It was successfully funded via Kickstarter and is available under an open source license. The Micro Python board runs Micro Python on bare metal and gives a low-level Python operating system to control electronic projects. It is based on an STM32 microcontroller and includes features like USB, SD card, LEDs, and pins for input/output. Micro Python provides a minimal Python operating system and standard libraries tailored for resource-constrained microcontrollers.
MicroPython is an implementation of Python 3 optimized for microcontrollers and embedded systems. It runs on low-cost boards with as little as 256KB of flash memory and 16KB of RAM. MicroPython enables microcontrollers to be programmed using the Python language, making IoT development easier and more accessible. During the presentation, the speaker demonstrates installing MicroPython on a microcontroller board and implements a simple IoT device with sensors through live coding.
Workshop given at the MakeZurich hackathon to get the people started with MicroPython and the LoPy board from pycom. Code: https://github.com/adnexo-GmbH/lopy_ws
This document provides an introduction to using Micro Python on the ESP8266 microcontroller board. It discusses Micro Python as a Python 3 implementation optimized for microcontrollers. It then covers setting up the ESP8266 dev kit hardware and connecting it via serial to load and run Python code. Examples are given for blinking an LED, reading analog data to control a night light, connecting to WiFi, using the web REPL, and creating a basic IoT setup to send sensor data to ThingSpeak. Contact information is provided for questions.
These are my slides from my workshop on Programming Microcontrollers at DevFestLagos21. The workshop covers an introduction to MCUs as well as a walkthrough of setting up a Sparkfun Edge development board.
The presentation to introduce the Hands-on workshop we ran at Elektor Live! A chance for everyone to experiment with all sorts of interesting hardware.
Minha palestra no TDC-Porto Alegre sobre a utilização do Python como a linguagem de programação para o ESP8266, demonstrando desde o processo de gravação do firmware, conexão com o dispositivo e exemplos de programas.
Microcontrollers
No operating system, usually single core running Mhz speeds
Handles multiprocessing by interrupts
Resilient
Usually 3.3 or 5V and usually around 1 Amp (or both 3.3 and 5.0V)
Usually basic if any Internet connection
Open and global innovation
Uses serial, IC2, and other well understood hardware communication
Huge version exist for large project (i.e. Arduino Mega, drones, quadcopter versions).
Applications
Motor control, server control, robots, weather stations
Examples
Arduino, Mico:bit, M0 based controllers, AdaFruit Feather, Tensy, Beaglebon
⭐⭐⭐⭐⭐ CHARLA MACI: Prototipado de Aplicaciones Industriales Basado en Hardwar...Victor Asanza
This document provides an overview of industrial automation applications based on open hardware code. It discusses AVR and ARM architectures, GPIO control, industrial shields, FPGA architecture, behavioral signal processing with machine learning on FPGAs, and future work integrating actuators and end devices in an IoT ecosystem. The document also references the speaker's online resources for additional information on topics like digital systems design, VHDL, and electronic prototypes.
The document traces the evolution of Intel processors from 4-bit to modern 64-bit processors. It discusses the key developments including the 4004 (1971), the first commercial microprocessor, the 8086 (1978) which introduced the x86 architecture, the 80386 (1985) which was the first 32-bit processor, and the Core i7 (2008) which is one of Intel's top consumer processors today. The document highlights increasing transistor counts, clock speeds, memory addressing and capabilities with each generation to show Intel's leadership in driving the advancement of microprocessor technology over the past 50 years.
The document discusses the evolution of microprocessors from 1971 to 2010. It describes each new microprocessor generation including the year introduced, number of bits, clock speed, number of transistors, memory size, and key features. Major milestones include the first 4-bit microprocessor in 1971, the 8-bit processors in the 1970s, the 16-bit 8086 in 1978, early 32-bit processors in the 1980s and 1990s, and 64-bit processors after 2006 with increasing cores, cache, and transistors.
Lightning talk from the 24 March 2016 FW Dev meetup.
http://www.meetup.com/FW-Dev/
This talk will give a brief overview of the ESP8266, show how easy they are to get started with and discuss interest in holding a Saturday workshop
Taking the BeagleBone Cookbook recipes beyond BeagleBone BlackDrew Fustini
NOTE: Slides by Jason Kridner and Mark Yoder
Source: http://event.lvl3.on24.com/event/11/07/48/2/rt/1/documents/resourceList1454015491443/cookbookbeyondblack_draft.pdf
The document details the evolution of Intel microprocessors from the 1970s to recent times. It provides information on early processors like the 4004 and 8086 from the 1970s with clock speeds up to 10MHz, and bus widths of 4 to 16 bits. Processors from the 1980s included the 80286 with up to 12.5MHz speed and 16-bit bus, and the 386 with speeds up to 33MHz and 32-bit bus. Later processors included the Pentium Pro in 1995 with speeds up to 200MHz and 64-bit bus, and more recent processors like the Core 2 Duo from 2006 with speeds up to 1.2GHz and cache sizes of 512KB.
The document summarizes the ESP8266, a low-cost WiFi microchip that allows microcontrollers to connect to the Internet. It details the chip's specifications, programming options including AT commands, C, Lua, and MicroPython. Examples are provided of using the NodeMCU firmware to program the chip in Lua and control it via WiFi. Resources like forums, SDKs, example code, and this demo are listed to help developers get started with ESP8266 projects.
- Introduction to the basic concepts of Arduino and Raspberry Pi, followed by a chronological timeline of different models of each of them.
-Pros and Cons.
-Automation of Raspberry Pi and Arduino in a single live demo.
Unleashing Innovation: IoT Project with MicroPythonVubon Roy
Vubon Roy gave a presentation on unleashing innovation with an IoT project using MicroPython. The presentation introduced IoT as physical objects embedded with sensors and software to connect and exchange data over the Internet, and discussed common IoT usage cases like smart homes and healthcare monitoring. It also described MicroPython as an open-source programming language optimized for resource-constrained devices like microcontrollers, and demonstrated an IoT project using MicroPython along with providing additional source code and resource links.
The document discusses the Raspberry Pi, a low-cost small computer used to teach programming to kids. It can connect to a monitor or TV and uses a keyboard and mouse. The Raspberry Pi was created by the Raspberry Pi Foundation to advance computer science education. It uses a system on a chip design to keep costs low and runs Linux-based operating systems. Common uses include digital maker projects and learning how to program hardware.
Building IoT devices with ARM mbed - RISE ManchesterJan Jongboom
This document discusses building Internet of Things (IoT) devices using ARM mbed. It addresses three common problems in building smart devices: how to build them, how to connect them, and how to manage them. ARM mbed is presented as a solution to streamline development across multiple device platforms through its online IDE, code sharing capabilities, and libraries. Connectivity options for IoT like Bluetooth LE, WiFi, and cellular networks are reviewed. ARM's mbed Device Connector is demonstrated as a way to manage devices regardless of connection protocol through features like encryption and firmware updates. The presentation aims to help developers build their first connected device by walking through an example Bluetooth LE project.
Advantages of python for the internet of thingsMaciej Dziergwa
Python is well-suited for IoT development due to its large community which has created extensive libraries, its portability across operating systems and devices, and its ease of use. It is simple to learn yet powerful for managing complex data. As an interpreted language, Python code can be easily tested on devices without compiling. Python also has tools that streamline the IoT development process and is widely used for scientific computing and the popular Raspberry Pi microcontroller.
The document discusses blending Python and electronics for various projects. It outlines the author's experience with Python and electronics and compares different approaches to combining the two, including using a Raspberry Pi, Arduino with Firmata, or MicroPython. MicroPython embeds a Python interpreter directly on a microcontroller and is presented as a good option for beginners or for more advanced projects. OpenMV is also mentioned as a Python-powered machine vision platform that uses MicroPython.
IRJET - Eyeblink Controlled Virtual Keyboard using Raspberry PiIRJET Journal
This document describes an eyeblink-controlled virtual keyboard system using a Raspberry Pi. The system uses a webcam to capture a user's face and detect eyeblinks. By blinking at different positions on a virtual keyboard displayed on a monitor, the user can select letters and communicate through text. The Raspberry Pi runs Python programs for facial detection, tracking eye movements, and controlling a virtual keyboard and pointer. This allows people with disabilities preventing physical interaction to communicate through eyeblinks selecting letters on a keyboard. The goal is to provide an accessible communication method using existing eye movement capabilities.
The document provides an introduction to the Raspberry Pi, including its hardware components like GPIO pins, USB ports, and HDMI port. It has a powerful Broadcom processor and built-in Wi-Fi and Bluetooth connectivity. Popular operating systems for Raspberry Pi include Raspbian, Ubuntu MATE, and Windows 10 IoT Core. Common programming languages are Python and Scratch. Example projects that can be built include home automation, retro gaming consoles, robotics, and weather stations. Tips are given for getting started, and common issues like overheating and SD card corruption are discussed. The future of Raspberry Pi is expected to include expanded applications, continued community innovation, and advancements in components.
This document discusses IoT application development and the key steps involved: sensor data collection, communication and networking, processing, and analysis. It outlines some of the most popular programming languages used for IoT development in 2015 and 2017, including Python. Several essential Python libraries for IoT are then described, such as mraa for GPIO access, sockets for networking, mysqldb for databases, Numpy for scientific computing, and matplotlib, pandas, opencv, tkinter, tensorflow, requests, and paho-mqtt for various functions like data visualization, analysis, image processing, GUI development, machine learning, HTTP calls, and MQTT protocol usage. The document concludes with an explanation of collecting data from a DHT sensor.
The document provides an overview of the Simputer, an open hardware handheld computer designed for use in environments where personal computers are deemed inappropriate. It discusses the history and development of the Simputer by professors in Bangalore, as well as its specifications, features, intended uses, and potential applications in areas like education, banking, healthcare and more. The goal of the Simputer was to bridge the digital divide by providing a low-cost portable computing alternative.
Iirdem design and implementation of finger writing in air by using open cv (c...Iaetsd Iaetsd
The document describes a project to design a system for finger writing in air using an Open CV library on an ARM platform. The proposed system uses a webcam, ARM microcontroller and display unit to capture finger movements or handwriting in front of the camera and display it on the screen in real-time. It analyzes the finger trajectories using Open CV and recognizes the patterns for display. The system is aimed at providing a more accessible way of digital writing compared to conventional methods.
Machine Learning pada Perangkat Portabel - NurendrantoroDicodingEvent
Baparekraf Developer Day adalah kegiatan yang diadakan oleh Kementerian Pariwisata dan Ekonomi Kreatif/Badan Pariwisata dan Ekonomi Kreatif (Kemenparekraf/Baparekraf) dengan tujuan mengasah kemampuan teknis pengembang aplikasi di Indonesia. Kegiatan ini memungkinkan transfer pengetahuan dan standar industri secara langsung dari para praktisi yang telah sukses, khususnya pada bidang pengembangan aplikasi.
Machine Learning Session
Tema: Machine Learning pada Perangkat Portabel
Speaker: Nurendrantoro (Technology Advisor - Perintis Teknologi Nusantara)
⭐⭐⭐⭐⭐ CHARLA MACI: Prototipado de Aplicaciones Industriales Basado en Hardwar...Victor Asanza
This document provides an overview of industrial automation applications based on open hardware code. It discusses AVR and ARM architectures, GPIO control, industrial shields, FPGA architecture, behavioral signal processing with machine learning on FPGAs, and future work integrating actuators and end devices in an IoT ecosystem. The document also references the speaker's online resources for additional information on topics like digital systems design, VHDL, and electronic prototypes.
The document traces the evolution of Intel processors from 4-bit to modern 64-bit processors. It discusses the key developments including the 4004 (1971), the first commercial microprocessor, the 8086 (1978) which introduced the x86 architecture, the 80386 (1985) which was the first 32-bit processor, and the Core i7 (2008) which is one of Intel's top consumer processors today. The document highlights increasing transistor counts, clock speeds, memory addressing and capabilities with each generation to show Intel's leadership in driving the advancement of microprocessor technology over the past 50 years.
The document discusses the evolution of microprocessors from 1971 to 2010. It describes each new microprocessor generation including the year introduced, number of bits, clock speed, number of transistors, memory size, and key features. Major milestones include the first 4-bit microprocessor in 1971, the 8-bit processors in the 1970s, the 16-bit 8086 in 1978, early 32-bit processors in the 1980s and 1990s, and 64-bit processors after 2006 with increasing cores, cache, and transistors.
Lightning talk from the 24 March 2016 FW Dev meetup.
http://www.meetup.com/FW-Dev/
This talk will give a brief overview of the ESP8266, show how easy they are to get started with and discuss interest in holding a Saturday workshop
Taking the BeagleBone Cookbook recipes beyond BeagleBone BlackDrew Fustini
NOTE: Slides by Jason Kridner and Mark Yoder
Source: http://event.lvl3.on24.com/event/11/07/48/2/rt/1/documents/resourceList1454015491443/cookbookbeyondblack_draft.pdf
The document details the evolution of Intel microprocessors from the 1970s to recent times. It provides information on early processors like the 4004 and 8086 from the 1970s with clock speeds up to 10MHz, and bus widths of 4 to 16 bits. Processors from the 1980s included the 80286 with up to 12.5MHz speed and 16-bit bus, and the 386 with speeds up to 33MHz and 32-bit bus. Later processors included the Pentium Pro in 1995 with speeds up to 200MHz and 64-bit bus, and more recent processors like the Core 2 Duo from 2006 with speeds up to 1.2GHz and cache sizes of 512KB.
The document summarizes the ESP8266, a low-cost WiFi microchip that allows microcontrollers to connect to the Internet. It details the chip's specifications, programming options including AT commands, C, Lua, and MicroPython. Examples are provided of using the NodeMCU firmware to program the chip in Lua and control it via WiFi. Resources like forums, SDKs, example code, and this demo are listed to help developers get started with ESP8266 projects.
- Introduction to the basic concepts of Arduino and Raspberry Pi, followed by a chronological timeline of different models of each of them.
-Pros and Cons.
-Automation of Raspberry Pi and Arduino in a single live demo.
Unleashing Innovation: IoT Project with MicroPythonVubon Roy
Vubon Roy gave a presentation on unleashing innovation with an IoT project using MicroPython. The presentation introduced IoT as physical objects embedded with sensors and software to connect and exchange data over the Internet, and discussed common IoT usage cases like smart homes and healthcare monitoring. It also described MicroPython as an open-source programming language optimized for resource-constrained devices like microcontrollers, and demonstrated an IoT project using MicroPython along with providing additional source code and resource links.
The document discusses the Raspberry Pi, a low-cost small computer used to teach programming to kids. It can connect to a monitor or TV and uses a keyboard and mouse. The Raspberry Pi was created by the Raspberry Pi Foundation to advance computer science education. It uses a system on a chip design to keep costs low and runs Linux-based operating systems. Common uses include digital maker projects and learning how to program hardware.
Building IoT devices with ARM mbed - RISE ManchesterJan Jongboom
This document discusses building Internet of Things (IoT) devices using ARM mbed. It addresses three common problems in building smart devices: how to build them, how to connect them, and how to manage them. ARM mbed is presented as a solution to streamline development across multiple device platforms through its online IDE, code sharing capabilities, and libraries. Connectivity options for IoT like Bluetooth LE, WiFi, and cellular networks are reviewed. ARM's mbed Device Connector is demonstrated as a way to manage devices regardless of connection protocol through features like encryption and firmware updates. The presentation aims to help developers build their first connected device by walking through an example Bluetooth LE project.
Advantages of python for the internet of thingsMaciej Dziergwa
Python is well-suited for IoT development due to its large community which has created extensive libraries, its portability across operating systems and devices, and its ease of use. It is simple to learn yet powerful for managing complex data. As an interpreted language, Python code can be easily tested on devices without compiling. Python also has tools that streamline the IoT development process and is widely used for scientific computing and the popular Raspberry Pi microcontroller.
The document discusses blending Python and electronics for various projects. It outlines the author's experience with Python and electronics and compares different approaches to combining the two, including using a Raspberry Pi, Arduino with Firmata, or MicroPython. MicroPython embeds a Python interpreter directly on a microcontroller and is presented as a good option for beginners or for more advanced projects. OpenMV is also mentioned as a Python-powered machine vision platform that uses MicroPython.
IRJET - Eyeblink Controlled Virtual Keyboard using Raspberry PiIRJET Journal
This document describes an eyeblink-controlled virtual keyboard system using a Raspberry Pi. The system uses a webcam to capture a user's face and detect eyeblinks. By blinking at different positions on a virtual keyboard displayed on a monitor, the user can select letters and communicate through text. The Raspberry Pi runs Python programs for facial detection, tracking eye movements, and controlling a virtual keyboard and pointer. This allows people with disabilities preventing physical interaction to communicate through eyeblinks selecting letters on a keyboard. The goal is to provide an accessible communication method using existing eye movement capabilities.
The document provides an introduction to the Raspberry Pi, including its hardware components like GPIO pins, USB ports, and HDMI port. It has a powerful Broadcom processor and built-in Wi-Fi and Bluetooth connectivity. Popular operating systems for Raspberry Pi include Raspbian, Ubuntu MATE, and Windows 10 IoT Core. Common programming languages are Python and Scratch. Example projects that can be built include home automation, retro gaming consoles, robotics, and weather stations. Tips are given for getting started, and common issues like overheating and SD card corruption are discussed. The future of Raspberry Pi is expected to include expanded applications, continued community innovation, and advancements in components.
This document discusses IoT application development and the key steps involved: sensor data collection, communication and networking, processing, and analysis. It outlines some of the most popular programming languages used for IoT development in 2015 and 2017, including Python. Several essential Python libraries for IoT are then described, such as mraa for GPIO access, sockets for networking, mysqldb for databases, Numpy for scientific computing, and matplotlib, pandas, opencv, tkinter, tensorflow, requests, and paho-mqtt for various functions like data visualization, analysis, image processing, GUI development, machine learning, HTTP calls, and MQTT protocol usage. The document concludes with an explanation of collecting data from a DHT sensor.
The document provides an overview of the Simputer, an open hardware handheld computer designed for use in environments where personal computers are deemed inappropriate. It discusses the history and development of the Simputer by professors in Bangalore, as well as its specifications, features, intended uses, and potential applications in areas like education, banking, healthcare and more. The goal of the Simputer was to bridge the digital divide by providing a low-cost portable computing alternative.
Iirdem design and implementation of finger writing in air by using open cv (c...Iaetsd Iaetsd
The document describes a project to design a system for finger writing in air using an Open CV library on an ARM platform. The proposed system uses a webcam, ARM microcontroller and display unit to capture finger movements or handwriting in front of the camera and display it on the screen in real-time. It analyzes the finger trajectories using Open CV and recognizes the patterns for display. The system is aimed at providing a more accessible way of digital writing compared to conventional methods.
Machine Learning pada Perangkat Portabel - NurendrantoroDicodingEvent
Baparekraf Developer Day adalah kegiatan yang diadakan oleh Kementerian Pariwisata dan Ekonomi Kreatif/Badan Pariwisata dan Ekonomi Kreatif (Kemenparekraf/Baparekraf) dengan tujuan mengasah kemampuan teknis pengembang aplikasi di Indonesia. Kegiatan ini memungkinkan transfer pengetahuan dan standar industri secara langsung dari para praktisi yang telah sukses, khususnya pada bidang pengembangan aplikasi.
Machine Learning Session
Tema: Machine Learning pada Perangkat Portabel
Speaker: Nurendrantoro (Technology Advisor - Perintis Teknologi Nusantara)
IRJET- Surveillance Robot based on Raspberry Pi-3IRJET Journal
This document describes the development of a surveillance robot controlled remotely through a web interface. The robot is built around a Raspberry Pi 3 microcontroller and uses a camera for video streaming. A web page allows controlling the robot's movement and viewing the camera feed. The Raspberry Pi runs a Python web server to stream video and receive remote commands sent from the web page to control two DC motors and move the robot. The system provides wireless surveillance using an affordable robot that can be monitored and operated remotely through a web browser.
Python in the real world : from everyday applications to advanced roboticsJivitesh Dhaliwal
The use of Python in Robotics. A presentation at PyCon India 2011. To see the video, please visit http://urtalk.kpoint.com/kapsule/gcc-ce0164df-0518-447c-9ade-a9ec8dd931de
This document provides information about an IoT workshop hosted by Null Mumbai. It introduces the workshop organizers, Nitesh Malviya and Ganesh Naik, and their backgrounds in security and embedded systems. It then defines IoT and discusses its various components, including physical devices, sensors, networks, and cloud services. The document outlines common processor architectures, operating systems, protocols, and hardware that are used in IoT, such as Arduino, Raspberry Pi, MQTT, and more. It provides examples of how these pieces fit together in an IoT system and references materials for further learning.
The Raspberry Pi is a small, inexpensive computer developed in the UK to teach basic computer science in schools. It has a 700MHz processor, video graphics processor, and RAM ranging from 256MB to 512MB depending on the model. It boots from an SD card rather than a hard drive. Linux distributions are available to download and it supports programming languages like Python, C, and Java. Due to its low cost and customizability, it has attracted millions of users who have developed accessories and used it for projects like home automation and environmental monitoring.
Pradeep Kumar is seeking a position as an embedded product engineer and has nearly 2 years of experience developing software for IoT devices using C, Python, and protocols like MQTT and Kafka. He has experience with projects involving energy monitoring, vehicle tracking, IoT gateways, protocol conversion, and smart buildings. His skills include microcontrollers, Raspberry Pi, communication protocols, cloud integration, and embedded software development.
Python is a widely used general purpose programming language created by Guido van Rossum in 1991. It emphasizes code readability and is easy to learn. Major releases include Python 1.0 in 1994, Python 2.0 in 2000 with new features like comprehensions, and Python 3.0 in 2008 which rectified fundamental flaws. Python supports applications including web development, desktop GUIs, science/analytics, software development, business systems, database access, games, and network programming.
Similar to Damien George - Micro Python - CIUUK14 (20)
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14Daniel Lewis
Piotr Mirowski (of Microsoft Bing London) presented Review of Auto-Encoders to the Computational Intelligence Unconference 2014, with our Deep Learning stream. These are his slides. Original link here: https://piotrmirowski.files.wordpress.com/2014/08/piotrmirowski_ciunconf_2014_reviewautoencoders.pptx
He also has Matlab-based tutorial on auto-encoders available here:
https://github.com/piotrmirowski/Tutorial_AutoEncoders/
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The document thanks attendees of the Computational Intelligence Unconference UK 2014 for their participation. It encourages attendees to share photos and feedback online using #CIUUK14 and provides contact information for organizing future events. Sponsors and speakers are thanked for their contributions to the successful event and interested parties are invited to get involved in planning next year's conference.
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TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
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Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
1. Micro Python — Python running on microcontrollers
Damien P. George
DAMTP & The Cavendish,
University of Cambridge
CI Unconference, 26th July 2014
2. Micro Python
Is it possible to put the Python language on a microcontroller?
Scripting languages: rapid development, AI algorithms.
Microcontrollers used in all aspects of robotics and hardware.
Why is it hard?
Very little memory (RAM, ROM)
on a microcontroller.
D.P. George Micro Python 2/1
3. What is Micro Python useful for?
Small size, low power, low cost, but still enables rapid prototyping
and high level programming.
Easy to learn low-level hardware concepts using a high level
language. Mix light-on, motor-turn, and list comprehension.
Making robots! Multiple processors in a
robot, distributed processing, most small
and RAM limited.
Internet of Things: Much easier to develop a small internet
connected device using Python than C.
D.P. George Micro Python 3/1
4. The near future
Electronics circuits now pack an
enormous amount of functionality in
a tiny package.
System on a Chip: CPU, RAM, flash memory, timers, USB,
Ethernet, . . .
Sensors: accelerometer, gyroscope, compass, barometer.
Need a way to control all these sophisticated devices. Python (and other
languages) are ideal for this.
D.P. George Micro Python 4/1