ADT Harnesses Machine Learning and Inverse Design to Deliver a New Era of Pump Efficiency

Discover how ADT is transforming pump design with Machine Learning and 3D Inverse Design to boost efficiency and cut ...
Nature

AI and machine learning in the design and synthesis of crystalline functional materials

Materials with advanced customized properties drive innovation in a number of real-life applications across various fields, such as information technology, transportation, green energy and health ...
Interesting Engineering on MSN

Noise-powered design uses heat for computing, can beat classical system’s power efficiency

Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...
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 ...
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 ...
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 ...
Dark Reading

IriusRisk Brings Threat Modeling to Machine Learning Systems

As part of "shift left" to incorporate security discussions earlier in the software development life cycle, organizations are beginning to look at threat modeling to identify security flaws in ...