Researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) have announced the development of a ...

Discover how neural-based modeling is reshaping predictive intelligence for merchants, enhancing operational efficiency and ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

The autonomy revolution is progressing. Helm.ai's unsupervised learning and generative AI approach offers scalability, deployment speed and resource efficiency.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

This need is putting the spotlight back on traceability, which is fundamental to building confidence in complex systems.

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Poor quality, unusable data is a burden for those at the end of the data’s journey. These are the data users who use it to build models and contribute to other profit-generating activities.

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...