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 ...

Creating a new product often begins with a simple two-dimensional drawing before engineers turn it into a detailed ...

Standard AI VP Aniruddha Maru explains why real-world machine learning failures are usually systems issues, not model flaws.

AI-powered vision is closing the gaps in digital process tracing by automatically documenting manual operations, reducing ...

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, ...

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...