Article

Machines that learn: A deep dive into AI/ML models and algorithms

Michaël Uyttersprot, Market Segment Manager Artificial Intelligence and Vision
Artificial Intelligence models and algorithms

What's Next Magazine

Artificial intelligence (AI) and machine learning (ML) can be used to pull insights out of huge volumes of information quickly and efficiently. AI/ML can also give machines the ability to process information like humans do. 

AI/ML can perform recognition and classification, predictive analytics, natural language understanding and other tasks that are difficult or impossible to accomplish with traditional computing.

These capabilities lead to an impressive variety of use cases: voice recognition, autonomous driving, epidemiology, pharmaceutical design, software coding, financial trading, and more. See this article in our new eMagazine, What’s Next, for a discussion of AI/ML models and algorithms.

See this article in our new eMagazine, What’s Next, for a discussion of AI/ML models and algorithms.

Read Full Article

About Author

Michaël Uyttersprot, Market Segment Manager Artificial Intelligence and Vision
Michaël Uyttersprot, Market Segment Manager Artificial Intelligence and Vision

Michaël Uyttersprot is Market Segment Manager at Avnet Silica, which is continuing to develop and ad...

Marketing Content Spots

Related Articles

Related Articles
coffee machine with embedded intelligence
Transitioning from IoT to edge AI system development
By Avnet Staff   -   October 29, 2025
Rapid developments in machine learning and artificial intelligence present challenges for embedded system engineers charged with bringing AI to edge devices. How should design teams address these challenges?
man working on laptop
Building better supply chains using AI
By Avnet Staff   -   July 17, 2025
Avnet delivered nearly 240 billion components worldwide in its 2024 fiscal year. With supply chain complexity increasing, leveraging AI to improve electronic component distribution is now a priority for service providers.

Related Events

Related Events
What, Why & How of Vision AI at the Edge
Date: April 23, 2021
Location: On Demand

Machines that learn - A deep dive into AI ML models and algorithms