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
closeup of man wearing glasses
Power of vision AI at the edge: How to unlock simple, fast edge AI deployment 
By Jennifer Skinner Gray   -   May 20, 2025
Pre-built integrations eliminate stumbling blocks of edge AI development. Engineers can skip weeks of configuration and jump straight into building their core applications.
datacenter
Hello world for machine learning
By Cliff Ortmeyer   -   May 16, 2025
Machine learning has been embraced by smart applications to solve virtually unsolvable problems. Also known as predictive analytics, it is a mathematical method that "learns" from known good data.
Related Events
Related Events
What, Why & How of Vision AI at the Edge
Date: April 23, 2021
Location: On Demand