An unsupervised machine learning study presented at the 2019 meeting of Association for Computational Linguistics--which examined 3.5M books published between 1900 and 2008--indicates that men are described based on their behavior, where women are described based on appearance. In specific, words like "beautiful" and "sexy" are two of the adjectives most frequently used to describe women, while common descriptors for men were "brave," "rational," and "righteous." The books, which amounted to approximately 11B words in sum, included a mix of fiction and non-fiction. "We are clearly able to see that the words used for women refer much more to their appearances than the words used to describe men," said University of Copenhagen computer scientist and assistant professor Isabelle Augenstein in a statement. "Thus, we have been able to confirm a widespread perception, only now at a statistical level."

I wrote about recommender systems last week, but there is so much discussion around their effects right now in the mainstream tech press that they deserve a second issue. As a recap, I said that there were two things that made recommender systems super ineffective, and that YouTube, one of the premier companies tech using recommendations, suffers from both a lot of the first and a lot of the second. Recommender systems today have two huge problems that are leading companies (sometimes at enormous pressure from the public) to rethink how they're being used: technical bias, and business bias. The real problem is YouTube's business model. YouTube is THIRSTY for advertising money, at all times.

Aiva is an Artificial Intelligence (A.I.) capable of composing emotional soundtracks for films, video games, commercials and any type of entertainment content. She has been learning the art of music composition by reading through a large collection of music partitions, written by the greatest Composers (Mozart, Beethoven, Bach, ...) to create a mathematical model representation of what music is. This model is then used by Aiva to write completely unique music. Recently, Aiva became the first virtual artist to have her creations registered with an author's rights society (SACEM). This achievement does not mean that Aiva will replace musicians; we will continue to encourage collaborations between man and machine.

This includes migrating to cloud, applying artificial intelligence (AI) and machine learning (ML) to improve efficiency.

In today's world of data science and machine learning, robust datasets are essential for progress to be made.

NEW YORK–(BUSINESS WIRE)–The World Artificial Intelligence Conference 2019 (WAIC 2019) opened grandly in Shanghai on August 29.

Such is the power of Artificial Intelligence.

At long last, artificial intelligence (AI) is poised to improve healthcare and … That's why I'm so excited about the work of the Geneia Data Intelligence …