Science Daily

Building explainability into the components of machine-learning models

Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...
eWeek

Machine Learning Guide: A Beginner’s Path to Mastery

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Machine learning (ML) uses advanced mathematical models ...
Semiconductor Engineering

Using Machine Learning For Characterizations Of NoC Components

Modern NoC (Network-on-Chip) is built of complex functional blocks, such as packet switches and protocol converters. PPA (performance/power/area) estimates for these ...
Tech Xplore on MSN

New robotic eyeball could enhance visual perception of embodied AI

Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their ...
GeekWire

Seattle startup that helps companies protect their AI and machine learning code raises $35M

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Nate Bek on Jul 26, 2023 at 6:00 am ...
EurekAlert!

Building explainability into the components of machine-learning models

Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. For example, if a model ...