Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Google’s machine learning-related algorithms. All the major search engines use machine learning in one or many ways. In fact, Microsoft is producing some significant breakthroughs.So are social ...

Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements ...

Deep learning and natural language processing with Excel. Learn Data Mining Through Excel shows that Excel can even express advanced machine learning algorithms. There’s a chapter that delves ...

Machine learning algorithms do a lot for us every day -- send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to ...

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

Deep learning is a subcategory of machine learning algorithms that use multi-layered neural networks to learn complex relationships between inputs and outputs. The more layers in the neural ...

The relationship between these parameters and their relevance to heat transfer coefficients can be deduced using new machine learning techniques. ... D. Garg, S.M. Kim, I. Mudawar, C.R. Kharangate, ...

A new AI study describes a machine learning algorithm that was able to classify schizophrenia, based on brain images, with 87 percent accuracy.