Training & Events
Man holding 3D hologram of earth and IOT devices
CI/CD Strategies for HIL Testing of Embedded Systems
Date: 2023年7月5日
Location: online, on-demand
Machine learning   Filter By   Machine learning RSS FEED
Machine learning is transforming the world. Algorithms that used to work with the cloud are now scaling beyond to the edge. From surveillance to ADAS, and robotics to data centers—explore our resources to get technical expertise and stay up to date with machine learning trends and technology.
A brain holograph over an MCU chip
Placing greater intelligence at the edge
2022年12月15日
With the number of connected nodes that make up the Internet of Things (IoT) growing on a daily basis, it is universally accepted that the way in which machine learning (ML) inferencing is executed has to change.
Illustration of a man showing digital, virtual world
Augmented Humanity: The Man Machine
2022年4月21日
Psychokinesis, or mind over matter, is a popular dream of sci-fi and horror story writers.
artificial neurons
How to get to market with Machine Learning
By Michaël Uyttersprot   -   2022年3月24日
Artificial Intelligence (AI) will become so commonplace it will be taken for granted. We can say this with some confidence, because so many semiconductor manufacturers already have embedded processors that are designed for AI.
 A manufacturing production line operating with autonomous robots
Can edge controllers bring balance to the Industrial IoT?
By Philip Ling   -   2022年1月19日
Putting more real-time intelligence at the heart of industrial automation is creating a new breed of control technology. Connectivity and control must go hand in hand in the Industrial IoT, but it requires the best of both worlds.
woman's face profile view and digitial face profile view
As 5G evolves, 6G takes aim at Internet of Everything
2021年10月8日
Work on 6G is already underway to define what the standard will do and how it will do it. If 5G is about enabling the Internet of Things (IoT), 6G is about enabling the Internet of Everything – including you.
Robot working on an embedded board
Best practices and use cases for machine learning in industrial automation
By Michaël Uyttersprot   -   2021年9月13日
Avnet Silica experts present a range of application examples and solution approaches for the use of machine learning in manufacturing
Predictive Manufacturing - smart machine in action
Predictive Manufacturing: The Future of Making
2021年6月23日
Predictive maintenance, using IoT to anticipate and prevent breakdowns by collecting and analyzing machine data, has been gaining momentum in recent years.
Smart cars in a crossroad
Top 10 pitfalls in developing machine vision systems with artificial intelligence
2021年4月28日
Machine vision (MV) and artificial intelligence (AI) provide valuable inspection and analysis capabilities to a wide range of leading-edge applications. As with all advanced technologies, there are pitfalls to avoid.
Smart cars in a crossroad
FPGA vs. GPU vs. CPU – hardware options for AI applications
2021年4月28日
Field programmable gate arrays (FPGAs) deliver many advantages to artificial intelligence (AI) applications. How do graphics processing units (GPUs) and traditional central processing units (CPUs) compare?
Smart cars in a crossroad
Why artificial intelligence at the edge matters
2020年10月27日
AI at the edge will have profound effects on many industries, including transportation, defense, manufacturing and healthcare to name a few. How will AI at the edge change these industries, and why does it matter?
Urban Robots - illustration of city lights
Urban Robots: Street Smarts
2020年2月15日
Technologists and business titans are all pushing the limits of technology in a breathtaking sprint to bring robots to our streets.
shopping cart in grocery store
4 ways AI connects retailers and customers
2019年2月25日
Technologies like machine learning and AI help retailers to process massive amounts of customer data. And with this data in hand, retailers can thoroughly understand their customers’ buying behavior.
depiction of brain surrounded by icons
The rise of machine intelligence in the AI era
2019年2月24日
Whether you know it or not, this technology has a lot of potential to deal with business-specific challenges and the benefits of deep learning outnumber its drawbacks.
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