Artificial Intelligence Free Audio & Video

In this era of big data, there is an increasing need to develop and deploy algorithms that can analyze and identify connections in that data.

Artificial Intelligence has emerged as an increasingly impactful discipline in science and technology.

Historian Yuval Noah Harari gave this lucid and dense talk at Google back in 2015. He begins the talk with the idea that the world's main religion currently is liberalism and points out areas where the ideology of individual freedom is dominant such as in politics, economics, and art.

If human beings successfully create self-aware machines, will the positive social benefits outweigh the potential dangers we see in many blockbuster Hollywood movies?

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, and drive autonomous robots).

The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience.

This course explores the problem of intelligence-its nature, how it is produced by the brain and how it could be replicated in machines-using an approach that integrates cognitive science, neuroscience, and computer science and artificial intelligence…

Deep Learning systems, typified by deep neural networks, are increasingly taking over all AI tasks, ranging from language understanding, and speech and image recognition, to machine translation, planning, and even game playing and autonomous driving.

John Searle is the Slusser Professor of Philosophy at the University of California, Berkeley. His Talk at Google is focused on the philosophy of mind and the potential for consciousness in artificial intelligence.

This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data.