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 ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data. While prior examples have ...

New machine learning framework enhances precision and efficiency in metal 3D printing, advancing sustainable manufacturing. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com ...

The Man-Machine Framework. Too often, systems for information analysis and process automation fail because they are not designed as a whole system with people and machines working in harmony.

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Now, K M Abubeker and S Baskar at the Karpagam Academy of Higher Education in India have created a novel machine-learning framework for pneumonia classification of chest X-ray images on a graphics ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Don’t ask me what any of this means, but it might be of interest for some of you real Mac users. Apple has released MLX, “an array framework for machine learning on Apple silicon, brought to ...

Virginia Tech. "Novel machine learning based framework could lead to breakthroughs in material design." ScienceDaily. www.sciencedaily.com / releases / 2018 / 10 / 181010123935.htm (accessed May 4 ...