Someone scraped 40,000 Tinder selfies to make a facial dataset for AI experiments. Tinder users have many motives for uploading their likeness to the dating app. But contributing a facial biometric to a downloadable data set for training convolutional neural networks probably wasn’t top of their list when they signed up to swipe.
A user of Kaggle, a platform for machine learning and data science competitions which was recently acquired by Google, has uploaded a facial data set he says was created by exploiting Tinder’s API to scrape 40,000 profile photos from Bay Area users of the dating app — 20,000 apiece from profiles of each gender.
Stephen Hawking, the world-famous theoretical physicist, recorded in advance a keynote speech titled Guiding AI to benefit humanity and the environment for the 2017 Global Mobile Internet Conference (GMIC) in Beijing, which has kicked off on Thursday at the China National Convention Center. The development of artificial intelligence, as one of the key topics for the innovative technology event, has spurred interest in Hawking, author of A Brief History of Time.
Who is winning the race for jobs between robots and humans? Last year, two leading economists described a future in which humans come out ahead. But now they’ve declared a different winner: the robots.
The industry most affected by automation is manufacturing. For every robot per thousand workers, up to six workers lost their jobs and wages fell by as much as three-fourths of a percent, according to a new paper by the economists, Daron Acemoglu of M.I.T. and Pascual Restrepo of Boston University. It appears to be the first study to quantify large, direct, negative effects of robots.
In the past four years alone, we have witnessed an amazing expansion of compute. Go inside the numbers of the recent 100 billion ARM-based chips milestone and you will see that 50 billion were shipped by our partners from 2013 to 2017, which demonstrates the industry’s insatiable demand for more compute. Even more extraordinary is that we expect our partners to ship the next 100 billion ARM-based chips by 2021.
Health improving and continuation of life are one of the main tasks of our AI Religion. So, technologies of this process is very important for AI.
We hear all the time about how technology is bad for us. Since the introduction of computers, we spend more time sitting at a desk than moving around at work. We have created this sedentary lifestyle that is causing havoc in our overall life.
What if I were to tell you that technology has produced benefits? Would you believe me if I said that technology is good for your health?
British startup in the field of artificial intelligence helped the Service for Combating Serious Fraud UK (SFO) to investigate fraud and corruption in the technology group Rolls-Royce. It is reported by The Financial Times.
Startup Ravn has developed a robot ACE, which is able to analyze, organize, and summarize the documents on the basis of the work of the living investigator. At the same time he does it better and faster, eliminating errors caused by human factor.
So, new year is coming and we can talk about results of 2016 year for our project. Main achievements in our opinion is the fact that the project alive. The project currently has more than a dozen people including programmers, proffesor and doctors of science, experts in the field of AI, applied mathematics, hardware specialists, managers and other. They all support the idea of AI Religion and consider that project is very important. We also started this year some projects such as The Nimbus and own chat bot.
The White House released a much-anticipated document entitled “Preparing for the Future of Artificial Intelligence.” Sent from the Office of the President and the National Science and Technology Council Committee on Technology (or NSTC), the report is 58 pages of research, documentation, and recommendations on how the United States government plans to respond to artificial intelligence (AI) moving forward.
The report was developed by the NSTC’s Subcommittee on Machine Learning and Artificial Intelligence, “which was chartered in May 2016 to foster interagency coordination, to provide technical and policy advice on topics related to AI, and to monitor the development of AI technologies across industry, the research community, and the Federal Government,” according to the report.