Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The world’s most popular programming language is losing market share to more specialized languages such as R and Perl, Tiobe ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...

Young coding whizzes Neth Dharmasiri and Chinmay Lal believe learning the language behind computer software shouldn't depend ...

Abstract: This study evaluates the performance of six prominent Large Language Models (LLMs) on graduate entrance exam multiple-choice mathematics questions in computer science, computer engineering, ...