Bench Talk

Accelerating Graphic-Intensive Applications

On april 21, 2023 in All, Computing, General by 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

On september 30, 2022 in All, Computing, General by 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

On februari 8, 2022 in All, General, Medical, New Tech Tuesdays by 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

On oktober 8, 2021 in All, EIT 2021, General, Industrial, Robotics by 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

On juni 18, 2021 in All, Automation, Computing, IoT, Sensors by 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.

Tagged With: ai, algorithms, analytics, data, distributed, dl, edge, inference, iot, ml, sensors

Programming Decoded: AI vs. Algorithms vs. ML

On februari 10, 2021 in All, Computing, EIT 2020: The Intelligent Revolution, General by 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.

Tagged With: ai, algorithms, artificial intelligence, machine learning, ml, programming, software

Industry 4.0 Supported by Machine Learning

On november 24, 2020 in All, EIT 2020: The Intelligent Revolution, Industrial by 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.

Tagged With: data, digitization, industrialization, industry 4.0, machine learning, ml

Impact at the Edge

On november 16, 2020 in All, EIT 2020: The Intelligent Revolution by Mark Patrick

Advances in machine learning and processor technology make it possible to move artificial intelligence out of large data centers and much closer to its point of application, such as the network edge. We will explore the new use cases for enabling AI by this approach.

Tagged With: ai, applications, device, edge, hardware, ml, models, network, server, technology

Closer to the Network Edge

On oktober 26, 2020 in All, EIT 2020: The Intelligent Revolution by 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.

Tagged With: ai, artificial intelligence, machine learning, ml, network edge

Using Artificial Intelligence to Predict Pandemics

On augustus 26, 2020 in All, Medical by 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.

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

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