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

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

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

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

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

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

Related Articles
multiple forms of logistic transportation with world map overlay and networked nodes
Managing component obsolescence and second-source risk in an AI era
By Avnet Staff   -   June 4, 2026
Nervousness coming from AI driven demand spikes is leading engineers to ask more questions about lifecycles, using distributor data to anticipate and mitigate unwelcome surprises.
industrial control panel with agentic AI overlay
Agentic AI for embedded control architectures
By Avnet Staff   -   June 3, 2026
Explore three embedded control architectures that blend agentic AI with deterministic control for safer, more adaptive industrial drives and mobile robots.