The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Abstract: Physical Unclonable Functions (PUF) are hardwareassisted security (HAS) primitives that provide robust and lightweight security in Internet of Things (IoT) environments. PUF is a hardware ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group ...

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...

Postgresql will by default assign COST=1 for C-language and internal functions, and COST=100 for functions in all other languages. The CREATE FUNCTION steps during installation of the RDKit cartridge ...

Abstract: Cost functions serve as the backbone of machine learning models, guiding optimization processes and significantly influencing predictive accuracy and model generalization. This review ...

ABSTRACT: Rising outpatient healthcare costs, particularly due to brand-name and non-optimized drug prescriptions, have created an urgent need for intelligent, cost-saving interventions. Traditional ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model.