National Academies of Sciences%2c Engineering%2c and Medicine

Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...
Microwaves & RF

Future Directions for AI & ML in RF/Microwave Design Tools

Discover how an influx of artificial intelligence and machine learning will imbue RF/microwave design flows, traditionally ...
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 ...
Electronic Design

Bigger Might Not Be Better When It Comes to AI on the Edge

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...
Electronic Design

Edge-Learning AI Simplifies Electronic Inspection Challenges

How deep learning enhances rule-based machine vision in quality and process control inspection applications. How edge learning compares to deep learning in machine-vision applications. Which ...
Purdue University

AI and Machine Learning

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...
The Scientist

Genetic Code Expansion with Machine Learning Can Bridge the Lab to Market Gap

Non-canonical amino acids can expand the scope of proteins available for therapeutics and machine learning platforms can ...