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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


Deploying Edge-Based AI Using the Kria SoM Adam Taylor
Production lines are fast-paced environments. Automated inspection equipment needs to process and make decisions without slowing the production line. This is where tools such as the Xilinx Kria SoM can help.

Where Nanotechnology and Machine Learning Meet Liam Critchley
The fields of nanotechnology and machine learning are impressive in their own rights and will continue to grow into staple technologies of the future. Although both are still relatively new fields, they can be combined in certain scenarios to produce practical solutions to various problems.

AI on the Edge: Microchip and Embedded Machine Learning Mike Parks
Machine learning is giving rise to a new generation of automation technologies in terms of scale and capability. Integrating ML into new or existing products has never been easier. Microchip’s powerful combination of 32-bit microcontrollers and MPLAB X Integrated Development Environment (IDE) empowers you to go from idea to product fast.

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.

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.

How AI Is Shaping the Future of Healthcare Babu Vaitheeswaran
As the world evolves, the healthcare industry must keep up. AI is shaping the future of healthcare through applications for televisits, cancer cell detection, and robotic assistance in surgeries. We can expect to see more AI implemented in healthcare sooner than you think.

Closer to the Network Edge Mark Patrick
Machine-learning algorithms require large numbers of parallel operations. The models usually run in data centers at the core of the network. This has a direct impact on latency, security, and cost. Here, we explore why AI is moving to the network edge and the technology that’s making it possible.

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.

Using Artificial Intelligence to Predict Pandemics Clive Maxfield
Science-fiction stories have been postulating about the sort of scenario we’re living in since the genre began. What is really required is some form of early-warning system for potential pandemics, and AI and ML could be the answer to advanced warning capabilities.

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