<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator><link href="https::/italianembedded.com/feed.xml" rel="self" type="application/atom+xml" /><link href="https::/italianembedded.com/" rel="alternate" type="text/html" /><updated>2026-02-26T14:26:37+00:00</updated><id>https::/italianembedded.com/feed.xml</id><title type="html">Italian Embedded</title><subtitle>Website for the Italian Embedded project</subtitle><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><entry><title type="html">Building an Open-Source Energy Meter from Scratch</title><link href="https::/italianembedded.com/events/energy-meter-open-source/" rel="alternate" type="text/html" title="Building an Open-Source Energy Meter from Scratch" /><published>2025-12-09T00:00:00+00:00</published><updated>2025-12-09T00:00:00+00:00</updated><id>https::/italianembedded.com/events/energy-meter-open-source</id><content type="html" xml:base="https::/italianembedded.com/events/energy-meter-open-source/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>Recording of the December 3, 2025 event hosted at The Adecco Group Italia offices in Milan.</p>

<p><a href="https://www.linkedin.com/in/jibril-sharafi/">Jibril Sharafi</a> (IoT &amp; Energy System Specialist at Atlante and founder of EnergyMe) presents how to build an open-source energy meter from hardware to firmware.</p>

<p>The talk discusses an architecture handling 17 real-time channels and covers data interfaces such as MQTT, Modbus, and REST APIs.</p>

<p>Project reference: <a href="https://www.energyme.net/home">EnergyMe</a>.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="energymeter" /><category term="opensource" /><category term="iot" /><category term="mqtt" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">Professional Embedded GUIs Without a Dedicated Team</title><link href="https::/italianembedded.com/events/gui-embedded-senza-team-dedicati/" rel="alternate" type="text/html" title="Professional Embedded GUIs Without a Dedicated Team" /><published>2025-10-28T00:00:00+00:00</published><updated>2025-10-28T00:00:00+00:00</updated><id>https::/italianembedded.com/events/gui-embedded-senza-team-dedicati</id><content type="html" xml:base="https::/italianembedded.com/events/gui-embedded-senza-team-dedicati/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>Recording of the October 14, 2025 event at WeHunt Milano.</p>

<p><a href="https://www.linkedin.com/in/claudiocarbonesoftware/">Claudio Carbone</a>, Software Engineering Manager, explains how to deliver high-quality embedded GUIs without relying on specialized GUI teams.</p>

<p>The session highlights a workflow based on Crank Storyboard that reuses existing Linux and embedded skills to speed up UI delivery.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="gui" /><category term="ux" /><category term="embedded" /><category term="linux" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">Extending Embedded Battery Life with Low-Power Design</title><link href="https::/italianembedded.com/events/battery-life-matters/" rel="alternate" type="text/html" title="Extending Embedded Battery Life with Low-Power Design" /><published>2025-10-21T00:00:00+00:00</published><updated>2025-10-21T00:00:00+00:00</updated><id>https::/italianembedded.com/events/battery-life-matters</id><content type="html" xml:base="https::/italianembedded.com/events/battery-life-matters/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>Recording of the October 14, 2025 event at WeHunt Milano.</p>

<p><a href="https://www.linkedin.com/in/andrealongobardi">Andrea Longobardi</a>, founder of <a href="https://al2tech.com">AL2Tech</a>, presents practical low-power design approaches for embedded products.</p>

<p>The talk covers methods to reduce power consumption, measure real current draw, and estimate battery lifetime with higher confidence.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="lowpower" /><category term="battery" /><category term="embedded" /><category term="design" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">Securing Embedded Devices: Yocto Meets the RED Directive</title><link href="https::/italianembedded.com/events/yocto-direttiva-red/" rel="alternate" type="text/html" title="Securing Embedded Devices: Yocto Meets the RED Directive" /><published>2025-09-23T00:00:00+00:00</published><updated>2025-09-23T00:00:00+00:00</updated><id>https::/italianembedded.com/events/yocto-direttiva-red</id><content type="html" xml:base="https::/italianembedded.com/events/yocto-direttiva-red/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>Recording of the September 18, 2025 event at eDreams ODIGEO Milan Tech Hub.</p>

<p><a href="https://www.linkedin.com/in/birdack/">Danilo Sia</a> (Solution Architect and Leader of the Artificial Intelligence Team at Kalpa) explains the new cybersecurity requirements introduced by the RED Directive.</p>

<p>The session outlines practical strategies for adapting Yocto-based products to these compliance constraints in real projects.</p>

<p>Event organized in partnership with <a href="https://www.kalpa.it/">Kalpa</a>.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="yocto" /><category term="security" /><category term="red" /><category term="cybersecurity" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">Speeding Up AI on Raspberry Pi: 30 FPS Object Detection</title><link href="https::/italianembedded.com/events/acceleriamo-ai-raspberry-pi-object-detection-30fps/" rel="alternate" type="text/html" title="Speeding Up AI on Raspberry Pi: 30 FPS Object Detection" /><published>2025-05-14T00:00:00+00:00</published><updated>2025-05-14T00:00:00+00:00</updated><id>https::/italianembedded.com/events/acceleriamo-ai-raspberry-pi-object-detection-30fps</id><content type="html" xml:base="https::/italianembedded.com/events/acceleriamo-ai-raspberry-pi-object-detection-30fps/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>Recording of the May 8, 2025 event at WeHunt Milano.</p>

<p><a href="https://www.linkedin.com/in/paolo-d-342505/">Paolo Demai</a>, electronic engineer and AI-focused system architect, covers how to run machine-learning models on embedded systems.</p>

<p>The talk focuses on practical tradeoffs between performance and energy usage, including a live demo.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="ai" /><category term="raspberrypi" /><category term="objectdetection" /><category term="ml" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">AI Models on Raspberry Pi Pico 2 with Zig</title><link href="https::/italianembedded.com/events/ai-raspberry-pi-pico-2-zig/" rel="alternate" type="text/html" title="AI Models on Raspberry Pi Pico 2 with Zig" /><published>2025-03-26T00:00:00+00:00</published><updated>2025-03-26T00:00:00+00:00</updated><id>https::/italianembedded.com/events/ai-raspberry-pi-pico-2-zig</id><content type="html" xml:base="https::/italianembedded.com/events/ai-raspberry-pi-pico-2-zig/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>Recording of the March 5, 2025 event, organized with Zant at the eDreams ODIGEO Milan Tech Hub.</p>

<p><a href="https://www.linkedin.com/in/flavio-mancosu/">Flavio Mancosu</a> and the Zant team show how Zig can be used for neural network inference on embedded devices.</p>

<p>Zant is an open-source SDK for simplifying edge neural-network development: <a href="https://github.com/ZantFoundation/Z-Ant">github.com/ZantFoundation/Z-Ant</a>.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="ai" /><category term="raspberrypi" /><category term="zig" /><category term="edge" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">TinyML on Arduino: from the Edge to the Cloud</title><link href="https::/italianembedded.com/events/arduino-ml/" rel="alternate" type="text/html" title="TinyML on Arduino: from the Edge to the Cloud" /><published>2024-04-23T00:00:00+00:00</published><updated>2024-04-23T00:00:00+00:00</updated><id>https::/italianembedded.com/events/arduino-ml</id><content type="html" xml:base="https::/italianembedded.com/events/arduino-ml/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>Leonardo Cavagnis and Christian Sarnataro from the Arduino team guided us in developing a tinyML use case using the <a href="https://store.arduino.cc/products/nicla-vision" target="blank_">Arduino Nicla Vision</a> and the <a href="https://cloud.arduino.cc/" target="blank_">Arduino Cloud</a>.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="arduino" /><category term="machinelearning" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">Rust for embedded systems</title><link href="https::/italianembedded.com/events/rust-embedded/" rel="alternate" type="text/html" title="Rust for embedded systems" /><published>2023-06-12T00:00:00+00:00</published><updated>2023-06-12T00:00:00+00:00</updated><id>https::/italianembedded.com/events/rust-embedded</id><content type="html" xml:base="https::/italianembedded.com/events/rust-embedded/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>An introduction by <a href="https://alepez.dev" target="blank_">Alessandro Pezzato</a> about the use of Rust to program embedded systems.</p>

<p>Event organized in collaboration with <a href="https://bluewind.it" target="blank_">Bluewind</a>.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="rust" /><category term="safety" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">Vehicles and Functional Safety: possible without Cyber Security?</title><link href="https::/italianembedded.com/events/vehicles-security/" rel="alternate" type="text/html" title="Vehicles and Functional Safety: possible without Cyber Security?" /><published>2022-04-12T00:00:00+00:00</published><updated>2022-04-12T00:00:00+00:00</updated><id>https::/italianembedded.com/events/vehicles-security</id><content type="html" xml:base="https::/italianembedded.com/events/vehicles-security/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p><a href="https://www.linkedin.com/in/stefanoco/">Stefano Costa</a> talks about the strong ties between cybersecurity and functional safety in automotive.</p>

<p>Event organized in collaboration with <a href="https://bluewind.it" target="blank_">Bluewind</a>.</p>]]></content><author><name>Lorenzo Rizzello &amp; Stefano Fiorentino</name></author><category term="events" /><category term="automotive" /><category term="functionalsafety" /><category term="cybersecurity" /><summary type="html"><![CDATA[Event language:]]></summary></entry><entry><title type="html">Python on MCUs with a bit of Machine Learning</title><link href="https::/italianembedded.com/events/python-mcu/" rel="alternate" type="text/html" title="Python on MCUs with a bit of Machine Learning" /><published>2022-03-03T00:00:00+00:00</published><updated>2022-03-03T00:00:00+00:00</updated><id>https::/italianembedded.com/events/python-mcu</id><content type="html" xml:base="https::/italianembedded.com/events/python-mcu/"><![CDATA[<p><strong>Event language: <img src="/assets/images/it-flag.png" style="width: 20px" /></strong></p>

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<p>An introduction to Micropython, an implementation of Python targeting microcontrollers.
Some of the questions we tried to answer:</p>
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  <li>what does it mean to port Python to a microcontroller?</li>
  <li>what should you be warned about when using Python on a constrained device?</li>
  <li>why building a Micropython-based embedded machine vision framework can be a good idea?</li>
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