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Bench Talk for Design Engineers

Bench Talk

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


Getting Started with Coding a DIY Project 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 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 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 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.

An Engineer's Primer: Designing AI Systems 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.

Natural Language Processing—Syntax Meets Sentiment 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 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 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.

Languages Evolve to Support AI Development 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.

The Hottest Things in AI 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.

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