On October 16, the AI Now Institute at NYU hosted its third annual AI Now Symposium to a packed house at NYU’s Skirball Theatre. The Symposium focused on three core themes: ethics, organizing, and…

VentureBeat spoke with Google Brain cofounder Andrew Ng, Fast Forward Labs founder Hilary Mason, Facebook AI Research founder Yann LeCun, and Accenture responsible AI global lead Dr. Rumman Chowdhury about key milestones of 2018 and what lies ahead for 2019.

The global AI race has officially began, and it’s far too early to pick a winner. We look at some the countries winning so far, and highlights of the race.

AI Competition Is the New Space Race. The technology still has a long way to go despite progress in 2018. The EU, U.S. and China are all determined not to be left behind.

The rise of automation has so far had a negligible impact on jobs at a global scale, the World Bank chief economist said, despite common gloomy predictions that humans are set to be replaced by machines.

DBS Bank is hoping to be more pre-emptive in meeting its customers’ needs as the Singaporean bank focuses its attention on building a data platform and beefing up its capabilities in data analytics and artificial intelligence.

The virtual assistant on your smart speaker and smartphone draws on artificial intelligence; so do every Google search and every Netflix recommendation. And while the bulk of the investment in AI and machine learning—the subset of AI in which computers look for patterns in large data sets—is coming from the tech sector, it is spilling into other areas.

Callaway’s New $530 Epic Flash Driver Used AI To Design Club Face

The Defense Department wants to use AI in warfare. In the aftermath of Project Maven, it still needs Big Tech’s help.

In a boon to AI researchers, the last year witnessed an unprecedented open-sourcing of large datasets by popular AI research projects. In the conclusion to our year-end series, Synced spotlights ten…

Machine Learning Special Issue Guest Editors Suchi Saria, Atul Butte, and Aziz Sheikh cut through the hyperbole with an accessible and accurate portrayal of the forefront of machine learning in clinical translation.

This article attempts to explain the terminology and delivery models adopted by public cloud providers. It aims to help business decision makers choose the right cloud-based ML and AI service.

Artificial intelligence technologies could create more economic opportunity than entire industries. But AI poses threats as well and US political leaders seem unaware of potential consequences. Do we need an AI czar? asks James Heskett.

Forbes publishes 300 stories a day, and is developing AI software that writes first drafts of articles. From Digiday: With Bertie, a contributor who writes regularly about the automobile industry might open up the tool to find the makings of an article about Tesla, complete with links to relevant, related articles published both on Forbes…

China’s pop music fan economy is estimated to be worth $14.5 billion by 2020