In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Gain a deeper understanding of artificial intelligence with Machine Learning Fundamentals: Principles and Applications. This course explores core concepts and practical uses of supervised and ...

Machine learning is rapidly emerging as a pivotal tool in plant tissue culture research, offering innovative approaches to optimise protocols, predict morphogenic responses, and streamline ...

In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from ...

Baritinib is a drug to treat rheumatoid arthritis. After outbreak of COVID-19, Benevolent AI Company discovered that AAK1 is a regulatory factor in the process of SARS-CoC-2 infection by generating a ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology outline practical approaches to overcome the limitations of modern computing ...