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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


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.

Solve the Mystery of Vehicle Detection Algorithm Wang Jing
This article takes a deep dive into unraveling the mystery of the vehicle detection algorithms.

AI Development: What, How and Why? Answers with Charlotte Han Charlotte Han
Do you know how artificial intelligence is going to develop? What will be needed to implement it in different areas of our lives? Charlotte Han provides some answers to our questions regarding AI.

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.

Deep Learning’s Long Development Continues Wang Dongang
Learn about the early scientific research, biomimetic principles, and algorithm structures pertaining to neural network algorithms. We also tackle the development of neural networks and analyze current research and future development and application trends in the field of neural networks.

AI’s Origin Traced to Ancient Greece Jürgen Schmidhuber
Today’s AI and deep learning builds on over 2,000 years of work by many brilliant innovators from around the world. To understand where AI is headed, it helps to understand how it got where it is today. Let’s take a quick tour of the origins of AI.

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