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 ...
The Next Web

A beginner’s guide to the math that powers machine learning

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...
TechCrunch

5 machine learning essentials nontechnical leaders need to understand

We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus, head of developer and ML platform at Square, describes as “the democratization of ML.” It’s become the foundation of ...
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 ...

Pusan National University Researchers Use AI to Create Optimized Engine Components That Outperform Human Designs

Gerotor pumps for oil circulation and lubrication are crucial components in automotive and hydraulic systems. They possess a compact design, excellent flow rate per rotation, and high suction ...
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 ...