One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Applications of Machine Learning in Nanotechnology In the context of nanotechnology, ML algorithms process and analyze vast amounts of data from experimental, theoretical, and computational studies.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

In conclusion, databases are essential tools for Machine Learning and AI applications. They provide a way to store, organize, and manage vast amounts of data used to train models and make predictions.

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...

Discover the key differences between machine learning and generative AI. Learn how each technology works, their applications, and their impact on industries worldwide.