The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

A simple and clear explanation of stochastic depth — a powerful regularization technique that improves deep neural network ...

For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...

Introduction The inaugural installment of this piece was necessarily foundational, providing the background to the emergence of AI; how it transformed the digital space; applicable regulatory ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Learn the essential math behind deep learning in a clear, step-by-step way. From linear algebra to calculus and probability, this guide helps you understand and apply the math needed for building ...

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...

1 Institute for Artificial Intelligence, Data Analysis and Systems (AIDAS), School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom 2 Independent Researcher ...

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.