Professor Hao Li used to think it could take two to three years for the perfection of deepfake videos to make copycats indistinguishable from reality. But now, the associate professor of computer science at the University of Southern California, says this technology could be perfected in as soon as six to 12 months. Deepfakes are realistic manipulated videos that can, for example, make it look a person said or did something they didn't. "The best possible algorithm will not be able to distinguish," he says of the difference between a perfect deepfake and real videos. Li says he's changed his mind because developments in computer graphics and artificial intelligence are accelerating the development of deepfake applications.
However, the frequency in which the Canadian government employs AI is worrying for some. Fears of governments using AI to infringe on private freedoms are very real, as some countries, such as China, have begun to use facial recognition software for police surveillance. Furthermore, people are rapidly losing confidence in social media platforms and Internet security, often citing the absence of human intervention in the decisions that algorithms make as the cause. Furthermore, 54% of North Americans express concern for their online privacy, and the non-consensual use of personal data by social media companies and federal governments do little to ease these fears. While more Canadians are more concerned about their online security due to threats posed by internet companies, at least 59% fear for their personal information being used by their own government.
It feels as though 2019 has gone by in a flash, that said, it has been a year in which we have seen great advancement in AI application methods and technical discovery, paving the way for future development. We are incredibly grateful to have had the leading minds in AI & Deep Learning present their latest work at our summits in San Francisco, Boston, Montreal and more, so we thought we would share thirty of our highlight videos with you as we think everybody needs to see them!. We were delighted to be joined by Dawn at the Deep Reinforcement Learning Summit in June of 2019, presenting the latest industry research on Secure Deep Reinforcement Learning, covering both the lessons leant in the lead up to her presentation, current challenges faced for advancement, and the future direction of which her research is set to take. You can see Dawn's full presentation from June here. Reinforcement Learning is somewhat of a hotbed for research, this year alone we have seen several presentations that have broken down the ins and outs of RL, that said, Doina's talk just last month gave us some new angles on the latest algorithmic development.
There's little doubt that artificial intelligence (AI) is having a massive impact on IT budgets, operations, and user experiences. But an area of AI that is receiving increasing attention is ethics. As people and companies become more dependent on the use of algorithms to make and support decisions, the inherent biases of software developers and the data pools they depend on to build their models have come under close scrutiny. Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them.
Artificial intelligence (AI) will shape the destiny of humanity, but first humanity has the opportunity to shape AI. At times, anxiety about the former causes us to overlook the latter. We forget that artificial intelligence is going to serve the goals with which we're now programming it. Its implementation will follow the standards we now have the opportunity to set. This leaves citizens -- and those representing us in government -- with an urgent responsibility.
This article is an excerpt from the Pearson Addison-Wesley book "Pragmatic AI" by Noah Gift. Reprinted here with permission from Pearson and 2019. What do Russian trolls, Facebook, and US elections have to do with machine learning? Recommendation engines are at the heart of the central feedback loop of social networks and the user-generated content (UGC) they create. Users join the network and are recommended users and content with which to engage.
Washington State University researchers are creating the first-ever "IQ test" for artificial intelligence (AI) systems that would score systems on how well they learn and adapt to new, unknown environments. Diane Cook, Regents Professor and Huie-Rogers Chair Professor, and Larry Holder, professor in the School of Electrical Engineering and Computer Science, received a grant of just over $1 million from the Defense Advanced Research Projects Agency (DARPA) to create a framework to test the "intelligence" of AI systems. "Previously, research on measuring intelligence in AI systems has been mostly theoretical," Holder said. Holder and Cook will design a test that will grade AI systems based on the difficulty of problems that they can solve. Creating methods to rank problems on their difficulty will be one of the major parts of the research.
OSIRIS-REx is NASA's first mission to an asteroid to retrieve a sample and return it to Earth. 'X' marks the spot as NASA prepares for a historic asteroid mission. NASA has selected the site on asteroid Bennu where its OSIRIS-REx spacecraft will retrieve a sample of space rock. Scientists identified four potential sites before picking a spot dubbed "Nightingale" that is located in Bennu's northern hemisphere. ASTEROID BENNU IS SHOOTING OUT ROCKS – AND NASA ISN'T SURE WHY "After thoroughly evaluating all four candidate sites, we made our final decision based on which site has the greatest amount of fine-grained material and how easily the spacecraft can access that material while keeping the spacecraft safe," said Dante Lauretta, OSIRIS-REx principal investigator at the University of Arizona in Tucson, in a statement.
After a successful early career in R&D in Silicon Valley, I spent 12 years working as a carpenter. This may sound like a big U-turn. But, while I loved the intellectual piece of science, I really loved the people aspect of construction. I got to build something and turn raw materials into gratifying, highly visible results: houses that enabled life and buildings that enabled commerce. I get the same kind of rush daily as lead data-ops engineer for Life Sciences at Tamr.*
Artificial intelligence could aid in the search for life on alien planets and detection of nearby asteroids, according to NASA officials. NASA hopes to use artificial intelligence, or A.I., technologies such as machine learning to interpret data that will be collected by future telescopes like the James Webb Space Telescope or the Transiting Exoplanet Survey Satellite (TESS) mission, according to a statement from the space agency. "These technologies are very important, especially for big data sets and especially in the exoplanet field," Giada Arney, an astrobiologist at NASA's Goddard Space Flight Center in Greenbelt, Maryland, said in the statement. "Because the data we're going to get from future observations is going to be sparse and noisy. It's going to be really hard to understand. So using these kinds of tools has so much potential to help us."