Machine-learning immune-system analysis study may hold clues to personalized medicine

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
mccormick.northwestern.edu

New Machine Learning Framework Enables Data-Efficient Design of Advanced Metamaterials

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
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 ...

Data Engineer to Machine Learning Engineer Transition – 2026 Guide

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...
Interesting Engineering

Inverse design meets 4D printing in mechanical metamaterials

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
InfoQ

Beyond Notebook: Building Observable Machine Learning Systems

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Katharine Jarmul keynotes on common myths ...
Forbes

We Need To Make Machine Learning Sustainable. Here’s How

Forbes contributors publish independent expert analyses and insights. We set an example for a better future via education and research. As machine learning progresses at breakneck speed, its ...
Semiconductor Engineering

EDA Makes A Frenzied Push Into Machine Learning

Machine learning is becoming a competitive prerequisite for the EDA industry. Big chipmakers are endorsing and demanding it, and most EDA companies are deploying it for one or more steps in the design ...