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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


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.

New Tech Tuesdays: The Rise of Robot Labor: The Impact of AI and ML on the Workplace Rudy Ramos
Automation is becoming ubiquitous as more companies deploy AI and machine learning-powered robots to automate tasks traditionally done by humans. With automation taking over labor-intensive jobs, humans are freed up to concentrate on higher-level tasks requiring more creativity and cognitive skills

Edge Impulse Fundamentals Part One Mike Parks
Edge Impulse significantly reduces the workflow complexity of adding machine learning (ML) technology to products. Part one of the Edge Impulse Fundamentals series focuses on capturing the data that drives machine learning models.

Accelerating Graphic-Intensive Applications Advantech
High-end graphics play a crucial role in industrial and medical applications, with AI and ML increasing their power. GPU subsystems contain large memory pools and hardware that move object data quickly, allowing for real-time image data analysis.

Options for Implementing AI/ML on FPGAs Adam Taylor
FPGAs are well known for accelerating AI/ML applications, but how is this implemented in the FPGA and what are the different approaches? Let’s explore the engineers’ design space.

New Tech Tuesdays: Artificial Intelligence Is Pushing the Boundaries of Healthcare Tommy Cummings
In this week's New Tech Tuesday, we'll look at products from NXP Semiconductors, Microchip Technology, and Advantech that help in the development of AI, ML, and data analytics.

Lack of Standards Hinders RPA Adoption Jeff Shepard
Robotic process automation (RPA) is about democratization, and that implies some level of standardization. But there are almost no standardization efforts. So far, the only standard available is a taxonomy from the IEEE, while RPA vendors continue to offer proprietary and disjointed solutions.

Distributed Analytics Beyond the Cloud Charles Byers
Analytics, AI, and ML are typically implemented as centralized functions in networks, often residing in the cloud. There is a growing trend to distribute these learning and inference functions between cloud, edge, and endpoint computer capabilities. Here, we’ll look at some of the tradeoffs involved.

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.

Industry 4.0 Supported by Machine Learning Wang Dongang
Machine learning and data are expected to play a key role in the development of Industry 4.0. Industry 4.0, which will combine industrialization and digitization, will bring new opportunities and challenges for large corporations and SMEs.

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