Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

The IMF study on Parameter Proliferation in Nowcasting shows that simpler, well-structured models guided by economic ...

Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence.

Pattern recognition and machine learning are revolutionizing the functioning of the crypto market. They convert raw, random data into useful signals, enabling traders to make better, quicker, and ...

Abstract: Earth materials are heterogeneous across a range of spatial scales, but the resolvability of small structures is limited by sparse data coverage, noise, bandlimitedness, and other ...

The Supreme Court rejected a Delhi doctor's plea claiming WhatsApp access as a fundamental right. The court suggested the petitioner to use India's homegrown messaging app, Arattai, instead. Meta’s ...

Abstract: Federated learning (FL) is considered a de facto standard for privacy preservation in AI environments because it does not require data to be aggregated in some central place to train an AI ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Machine learning (ML) has rapidly become a transformative tool ...

Quantum computing innovations have garnered significant attention for their potential to revolutionize industries, with the energy sector being one of the most promising areas for application. As ...