• Deep learning has revolutionized pattern recognition, introducing technology that now powersawiderangeoftechnologies,includingcomputervision,naturallanguageprocess- …

In this paper, we conduct a detailed analysis of the foundational technologies and architectural components that constitute Deep Research agents. We begin by reviewing information acquisition …

Here we selectively touch on some of the more recent advances in deep learning, clearly leaving out many im-portant subjects, such as deep rein-forcement learning, graph neural net-works and meta …

The deepest part of the ocean, in the Marianas Trench, is 11,033 meters (36,201 feet) deep. Darkness is one of the defining characteristics of the deep sea because sunlight is absorbed and scattered by …

Most perception (input processing) in the brain may be due to one learning algorithm. Build learning algorithms that mimic the brain. Most of human intelligence may be due to one learning algorithm. …

A good understanding of linear algebra is essential for understanding and working with many machine learning algorithms, especially deep learning algorithms. We therefore precede our introduction to …

We consider standard shallow and deep feedforward networks. We study mainly binary classification in the supervised learning setup. As above, we study an error decomposition into three parts.