Bench Talk

Getting Started with Coding a DIY Project

On March 17, 2025 in All, Computing, General, Open Source by Mike Parks

Embedded systems integrate hardware and firmware, using languages like Arduino C++ and CircuitPython for microcontroller programming. Learn how to write and debug DIY electronics projects and explore IDEs, pseudocode, and debugging techniques to develop reliable embedded applications easily.

Coding for Automation: Programming a PLC

On January 3, 2025 in All, Automation, General, Industrial, IoT by Mike Parks

PLCs bridge the industrial and information revolutions, evolving from manual rewiring to programmable automation and advanced networking, enabling IIoT integration and real-time data exchange. Early PLCs required assembly or Fortran knowledge, but ladder logic emerged as the dominant programming method.

Optimizing Software for Multicore Arm Microcontrollers

On December 27, 2024 in All, Computing, General, Low Power by Mike Parks

Multicore Arm® MCUs revolutionize embedded systems with enhanced performance, efficiency, and power savings. Explore Cortex-A, Cortex-R, and Cortex-M configurations for diverse applications and learn programming models, parallel processing, and optimization techniques to maximize their capabilities.

Rust Programming Language for Microcontrollers

On June 21, 2024 in All, Computing, General by Mike Parks

Rust is an increasingly popular language for embedded systems. It addresses limitations of C, like memory management and lack of package management, while offering features for safer concurrency and eliminating common bugs.

Tagged With: c language, embedded rust working group, mcu, microcontrollers, programming, rust

An Engineer's Primer: Designing AI Systems

On March 10, 2023 in All, Computing, General, IoT by Jon Gabay

AI poses design challenges to engineers classically trained in analog and digital logic design. Fortunately, there are devices, libraries, education, and dev kits to help accelerate the learning curve. Learn more about the types of AI learning, where new AI design differs from classic techniques, and how to accelerate your designs.

Tagged With: ai, algorithms, chips, data, embedded, logic, programming

Natural Language Processing—Syntax Meets Sentiment

On February 17, 2023 in All, Computing by Carolyn Mathas

A branch of artificial intelligence, NLP lets computers understand the content syntax and a creator’s intent and sentiment. It combines linguistics, computer science, and AI and involves programming computers to process and analyze copious amounts of natural language. Challenges exist but the draw for programmers is clear.

CircuitPython: Embedded Python for Education

On January 17, 2022 in All, Computing, General, Open Source by Mike Parks

Bridging the gap between desktop programming and embedded development does not need to be complicated. CircuitPython is an exciting new programming language that targets the education market to help foster the learning of both computer programming and electronics.

Programming Decoded: AI vs. Algorithms vs. ML

On February 10, 2021 in All, Computing, EIT 2020: The Intelligent Revolution, General by Stephen Cassar

Artificial intelligence, machine learning and algorithms are terms often used interchangeably. But they shouldn’t be. Let’s look at the differences, why they were created and how and when they’re used.

Tagged With: ai, algorithms, artificial intelligence, machine learning, ml, programming, software

Languages Evolve to Support AI Development

On November 18, 2020 in All, Computing, EIT 2020: The Intelligent Revolution by M. Tim Jones

Programming languages were born from AI and evolved to meet the growing demand of AI applications. And as AI algorithms advanced, so did the languages to support new statistical methods and the toolkits that expanded these language’s machine learning capabilities.

Tagged With: ai, deep learning, languages, learning, lisp, machine, machine learning, programming, python, r language, tensorflow

The Hottest Things in AI

On September 30, 2020 in All, EIT 2020: The Intelligent Revolution by Stephen Cassar

Global spending for artificial intelligence systems is predicted to reach $97.9 billion (USD) by 2023. AI specialists should be on the lookout for emerging trends to diversify their skillset and take advantage of the coming wave of innovation. We explore three emerging trends worth learning.

Bench Talk for Design Engineers | The Official Blog of Mouser Electronics

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