This enables rapid response to local commands and feedback from the application, while keeping the process ... sensors and commands according to an operating algorithm; however, with machine learning, ...

Researchers recently published a study in Additive Manufacturing focused on the use of machine learning frameworks for ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

Another topic that grew in prominence at this year’s NAML event was AI assurance, including robustness of algorithms and the safety of deployed systems. Unlike many commercial applications where ...

Both generative AI and machine ... algorithm and application, can vary in complexity and resource needs. Some ML models are relatively simple and efficient, while others, like deep learning ...

Hydrogen storage, heat conduction, gas storage, CO 2 and water sequestration—metal-organic frameworks (MOFs ... the necessary material-specific machine learning of the potentials, the quantum ...