In November 2024, Manoj Bhoyar was also honoured with the prestigious Global Recognition Award for his remarkable ...

"Density-functional theory is very bad at describing processes such as these ... But a new paper in npj Computational ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

The world of finance is advancing quickly, with technology playing an increasingly significant role in decision-making ...

Sure to be influential, Watanabe’s book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, ...

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine ...

In summary, DARPA’s Theory of Mind program is positioned at the intersection of technology and national security, focusing on ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention ...

"Density-functional theory is very bad at describing processes ... But a new paper in npj Computational Materials shows that even a simple machine learning model, trained with a modest amount ...