insideHPC

Tomorrow’s Machine Learning Today: Topological Data Analysis, Embedding, and Reinforcement Learning

Although machine learning is an integral component of Artificial Intelligence, it’s critical to realize that it’s just one of the many dimensions of this collection of technologies. Expressions of ...
Compliance Week

How banks are responsibly embedding machine learning and GenAI into AML surveillance

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) to strengthen anti-money ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Design And Reuse

Keysight’s Machine Learning Toolkit to Speed Device Modeling and PDK Dev

The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.
insideHPC

Companies Pigeonhole Productivity and Profitability Potential with Machine Learning

In this special guest feature, Yvonne Cook, General Manager at DataRobot UK, takes a look at how companies are applying machine learning technology to give themselves a substantial leap forward in ...