Bench Talk

New Tech Tuesdays: The Rise of Robot Labor: The Impact of AI and ML on the Workplace

On พฤษภาคม 2, 2023 in All, General, Industrial, IoT, New Tech Tuesdays, Robotics, Sensors by 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

Tagged With: ai, automation, autonomous robots, cobots, iot, ml, robot labor, robotics, robots, sensors

Edge Impulse Fundamentals Part One

On เมษายน 28, 2023 in All, Computing, Dev Tools, General, Open Source by 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.

Tagged With: data processing, edge impulse, inferencing, machine learning, ml, tinyml

Accelerating Graphic-Intensive Applications

On เมษายน 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 กันยายน 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 กุมภาพันธ์ 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 ตุลาคม 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 มิถุนายน 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 กุมภาพันธ์ 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 พฤศจิกายน 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 พฤศจิกายน 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

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