Creative machines will be the next weapon in our fake news war
Machine-made images and videos will accelerate the spread of fake content online, according to AI experts and neuroscientists
Too Much of Today's AI Is a Novelty Without a Clear Plan to Make Money
As with any business, it's time to start listening to customers.
The recent document, described as “confidential,” outlines a new advertising service that expands how the social network sells corporations’ access to its users and their lives: Instead of merely offering advertisers the ability to target people based on demographics and consumer preferences, Facebook instead offers the ability to target them based on how they will behave, what they will buy, and what they will think.
Pentagon launching joint office focused on artificial intelligence
Defense Secretary James N. Mattis and Marine Corps Gen. Joe Dunford, chairman of the Joint Chiefs of Staff, testify on the Defense Department's fiscal year 2019 budget request before the House Armed Services Committee in Washington, April 12, 2018. (DoD photo by Navy Petty Officer 1st Class Dominique A. Pineiro)
OpenAI Releases Their Charter
Are Algorithms the New Campaign Donation?
It’s difficult to assess their market value, and they can move between organizations easily. That’s a problem.
An AI Runs For Mayor In Japan.
There is an AI running for the mayoral role of Tama city Tokyo.
Google Introducing Semantic Experiences with Talk to Books and Semantris
Today, we are proud to share Semantic Experiences, a website showing two examples of how these new capabilities can drive applications that weren’t possible before.
Differentiable Plasticity: A New Method for Learning to Learn
To give our artificial agents similar abilities, Uber AI Labs has developed a new method called differentiable plasticity that lets us train the behavior of plastic connections through gradient descent so that they can help previously-trained networks adapt to future conditions.
A Discussion about Accessibility in AI at Stanford
"I recently was a guest speaker at the Stanford AI Salon on the topic of accessiblity in AI, which included a free-ranging discussion among assembled members of the Stanford AI Lab. There were a number of interesting questions and topics, so I thought I would share a few of my answers here."
The Mathematics of 2048: Optimal Play with Markov Decision Processes
In this post, we’ll use a mathematical framework called a Markov Decision Process to find provably optimal strategies for 2048 when played on the 2x2 and 3x3 boards, and also on the 4x4 board up to the 64 tile.
How I Taught A Machine To Take My Job
or Behavioral Cloning and 3D Procedural Content Generation
Google Introducing TensorFlow Probability
TensorFlow Probability: a probabilistic programming toolbox for machine learning researchers and practitioners to quickly and reliably build sophisticated models that leverage state-of-the-art hardware.