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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


Data Criteria for ML POC Success Becks Simpson
Selecting data inputs and labels, evaluating data quality, and determining the needed quantity of data are critical steps for a successful machine learning project.

RF, Microwave, Millimeter Wave, and Terahertz Trends in 2024 JJ DeLisle
Discover the International Microwave Symposium, where global RF professionals gather to showcase cutting-edge developments, and dive into the multifaceted realm of RF technology, surveying innovations ranging from the evolution of wireless power transfer to the integration of ML in radar design.

New Tech Tuesdays: Embracing the Edge: Computing Where It Counts Rudy Ramos
Embedded devices powered by system-on-chips (SoCs) provide a compact yet powerful computing solution. Learn how embedded devices and SoCs are revolutionizing data processing and real-time analytics.

Droids Among Us Nicolette Emmino
In the spirit of May the 4th, let's explore the technological advancements and challenges in robotics as viewed through Star Wars droids. We'll explore the films' droids with current robotics technologies to see how far we've come and what we need to do to bridge the gap.

New Tech Tuesdays: Genesis of ChatGPT: A Revolutionary AI Chatbot Rudy Ramos
The advent of ChatGPT has marked a pivotal moment in the development of artificial intelligence (AI). As AI chatbots become more sophisticated, expect to see innovative and unexpected applications emerge across many industries and domains.

ML Proof of Concept to Production Part One Becks Simpson
Starting on the right foot by defining business goals and relevant metrics is key to developing a successful machine learning proof of concept and taking it to production.

The Evolving Edge: Transformation Is Now NXP
Microcontroller evolution is keeping pace with the needs of embedded system designers, focusing on IoT, edge processing, industrial automation, and more. Integrating a multi-core design, on-chip accelerators, and an eIQ Neutron NPI gives designers the horsepower needed to advance state-of-the-art innovations.

Smart Door Locks – Enhancing Security with Machine Learning Xilinx
Smart door locks can provide a layer of protection for homes and other consumer dwelling spaces, like garages or sheds, but previous versions could be easily tricked. Here, we discuss how 3D facial recognition and machine learning can add a superior level of security in smart door locks.

Edge Impulse Fundamentals Part Six Mike Parks
Part 6 of the Edge Impulse Fundamentals series finishes exploring the tools Edge Impulse provides to analyze ML model performance and investigates ways to mitigate the effects of overfitting and underfitting.

7 Ways AI Revolutionizes Data Centers Jon Gabay
AI displays its prowess as it emerges into many disciplines. One potentially important area is the data center. AI’s learned behaviors and patterns can help manage data center scheduling, throughput, and energy usage while providing a potentially higher level of security and threat mitigation.

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