The growth of the artificial intelligence (AI) industry worldwide -- and Canada specifically -- has revealed that its female researchers face many of the same challenges as they do in the other science, technology, engineering and math (STEM) fields. Underrepresentation, lower hiring rates and limited professional opportunities are all ongoing barriers. However, that may be changing, according to a new study published in the Journal of Informetrics. The authors present an analysis of gender patterns that evolved in the AI field over two decades, from 2000 to 2019. They used social network analysis, natural language processing, statistical analysis and machine learning to examine the space women occupy and the nature of their work in this ever-evolving and increasingly diverse field.

Why you don't really know what you know October 2020 What does it really mean to know anything? How well can we understand the world when so much of our knowledge relies on evidence and argument provided by others? These questions matter not only to scientists. Many other fields are becoming more complex, and we have access to far more information and informed opinions than ever before. Yet at the same time, increasing political polarization and misinformation are making it hard to know whom or what to trust.

Film is often linked to emotive forms of creativity or even creative ways of expressing emotion. So how can one marry into the other's world? As human creatives some of us also tend to pride ourselves on being uniquely human, in possessing a gift, talent and/or skill that AI could never dream of replicating. However, the world of cinema is starting to open its doors to the possibility of introducing AI. Warner Brothers has recently signed a deal with Cinelytic, whose smart technology can predict box office success before production even begins, and offers suggestions on the most profitable actors to use to boost popularity.

Whether you're combing the online aisles at Wayfair to find a just-right sectional or tuning in to a Spotify playlist during a morning run, machine learning algorithms are the secret sauce making sure there's a perfect match. Wayfair, a digital-first retailer focused on the home category, and Spotify, an audio streaming media service, serve two different markets. However, both are platform-based businesses built around data and customer interactions, employing machine learning to deliver highly personalized user experiences and curated product and content recommendations. At the recent EmTech Digital conference hosted by MIT Technology Review, machine learning experts from Wayfair and Spotify gave a peek at how they leverage technology to deliver bespoke experiences that foster lasting and profitable customer relationships. At Wayfair, more than 3,000 technologists work on the platform, which connects customers with suppliers in a marketplace of more than 14 million products spanning five websites.

Abstract: This paper addresses the problem of sheet-image-based on-line audio-to-score alignment also known as score following. Drawing inspiration from object detection, a conditional neural network architecture is proposed that directly predicts x,y coordinates of the matching positions in a complete score sheet image at each point in time for a given musical performance. Experiments are conducted on a synthetic polyphonic piano benchmark dataset and the new method is compared to several existing approaches from the literature for sheet-image-based score following as well as an Optical Music Recognition baseline. Abstract: Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoints, resolution, occlusion, and illumination make the problem non-trivial.

This program uses artificial intelligence and data science to help develop … A lot of the machine learning algorithms that we use today were …

That says that anything you can do as a human being we can augment the intelligence positions through machine learning and machine processes."

Discover how John Deere's New Autonomous 8R Tractor uses machine learning and artificial intelligence to help farmers make key decisions and …

Netflix has an excellent international library, including German sci-fi gem Dark -- one of the best series on Netflix full stop. This adult animated anthology series spans a range of genres, with plenty of episodes hitting the Black Mirror comparison button. Robots in a post-apocalyptic city, farmers piloting mech suits and a space mission gone wrong all pop up in the first season. While the episodes can be hit and miss (some have been criticized for their treatment of women), you'll find plenty of thought-provoking and impressive animation. This apocalyptic sci-fi from Belgium will probably turn you off from flying any time soon.

Synamedia, the world's largest independent video software provider, announced the acquisition of Utelly, a UK-based privately-owned content discovery platform provider with products targeted at the entertainment industry. Its offerings include metadata aggregation, search and recommendations, as well as content management and a content promotion engine. Its SaaS-based technology is already pre-integrated with the Synamedia Go video platform and will now be embedded in the Go.Aggregate add-on pack to solve one of the major challenges viewers face: finding content across TV and apps on any screen. Utelly's technology achieves this through metadata aggregation, intelligent asset linking, AI and machine learning. By unifying data and using AI to enrich sparse data sets, Utelly provides customers with search and recommendations that enhance viewers' content discovery experiences.