Titled "Machine Learning for Chemistry: Basics and Applications," this comprehensive review aims to bridge the gap between chemists and modern ML algorithms, providing insights into the potential ...

In this presentation, they delved deep into the types of machine learning that are most applicable to industry and the algorithms behind them. You can read more about this 2018 presentation in the ...

Feb 29, 2024: Machine learning innovations and applications in nanotechnology (Nanowerk Spotlight) Machine Learning in nanotechnology represents a vibrant fusion of artificial intelligence (AI) with ...

As machine learning algorithms continue to advance, the incorporation of uncertainty modeling becomes pivotal for robust and adaptable systems. This article explores the fusion of fuzzy logic with ...

Kevin Zhou (University of Illinois Chicago) — “Query Learning of Automata” Graduate Student Conference in Logic. IDEAL and the Association for Symbolic Logic sponsored the 23rd Graduate Student ...

Most machine learning algorithms demand a huge number of matrix multiplications and other mathematical operations to process. The computational technology to manage these calculations didn’t ...

Embracing AI and machine Learning. Machine learning techniques are used across industries in various areas of the supply chain. It is important to note that there are several applications of ML ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...