By the end of this article, you'll understand how Numerai is using advances in cryptography like homomorphic encryption to allow for open participation in the problem of stock market efficiency. Over the last few years, machine learning algorithms solved big problems in computer vision. One such problem was getting an algorithm to learn how to recognize handwritten digits in the MNIST dataset. Everyone writes digits differently, so the problem was difficult for computers to grasp. When the dataset first became available in 1998, machine learning algorithms for computer vision were not very accurate.

Data analytics firm Orbital Insight is partnering with the World Bank to test technology that could help measure global poverty using satellite imagery and artificial intelligence. The new partnership will test the use of AI to supplement these surveys and increase the accuracy of poverty data. Orbital said its AI software will analyze satellite images to see if characteristics such as building height and rooftop material can effectively indicate wealth. The pilot study will be conducted in Sri Lanka. If successful, the World Bank hopes to scale it worldwide.

AI is coming for your paintbrush too… A new iOS app, called Prisma, is using deep learning algorithms to turn smartphone photos into stylized artworks based on different artwork/graphical styles. Snap or choose your photo, select an'art filter' to be applied and then wait as the app works its algorithmic magic -- returning your stylized image in a matter of seconds, along with options to share it to your social networks. So if you've ever wanted your bedroom to resemble a rotoscope animation, or your selfie to have shades of manga, or your hopeless sketching skills not to hold back your yearning to create a web comic then Prisma is definitely the app for you… Prisma was launched only last week but has already garnered some 1.6 million downloads, CEO and co-founder Alexey Moiseenkov tells TechCrunch, on the phone from Moscow where the team is currently based. The key to this early growth is clearly the app's prominently placed social share function, which prompts users to post to Instagram as soon as they receive their processed shot. And just this week the Facebook-owned photo-sharing behemoth revealed it had more than doubled its monthly active users over the past two years -- reaching a whopping 500 million MAUs.

Learned experts in the field of science and technology have had predicted how'Artificial Intelligence' may take over the world. On close heels, a Russian robot appears to have'escaped' the research lab in which it was housed. Do you know what's more weird? It is the second time the bot has tried to flee the lab in just a span of two weeks, according to news reports. Engineers at the Russian lab reprogrammed the intelligent machine, dubbed Promobot IR77, after last week's incident, but the robot recently made a second escape attempt, The Mirror reported. Reportedly, in its first effort to flee last week, the robot almost made 50 meters into the street before it got'partially paralyzed' due to power exhaustion.

Since we moved away from chat a few days ago, we've had a lot of users come and ask us why we decided to bring chat to a bare minimum in our app. While several of our users loved the chat feature, for a lot of our users chat was a cumbersome way of doing things (too many taps, easier if they did it themselves etc.). After extensive debate internally, we took the call to phase out chat from our app and create the same level of experience using automation and simple user interfaces. The rest of the app remains the same – but it is simplified, fast and without any delays. Since a lot of people believe that chat is the new universal UI (like we once passionately believed), I thought it might be useful to talk about our experience and learning.

TOKYO (Reuters) – Toyota Motor Corp is targeting developing in the next five years driver assistance systems that integrate artificial intelligence to improve vehicle safety, the head of its advanced research division said. Gill Pratt, CEO of recently set up Toyota Research Institute (TRI), the Japanese automaker's research and development company that focuses on AI, said it aims to improve car safety by enabling vehicles to anticipate and avoid potential accident situations. Toyota has said the institute will spend 1 billion over the next five years, as competition to develop self-driving cars intensifies. Earlier this month, home rival Honda Motor Co said it was setting up a new research body which would focus on artificial intelligence, joining other global automakers which are investing in robotics research, including Ford and Volkswagen AG. "Some of the things that are in car safety, which is a near-term priority, I'm very confident that we will have some advances come out during the next five years," Pratt told reporters late last week in comments embargoed for Monday.

Will a robot one day win a Lion? That was the central question of PHD Worldwide's panel. CANNES, France--Many workers around the world have legitimate concerns about being replaced by automation. And, at least according to a show of hands, a large majority of attendees at a Cannes panel called "Will a Robot Win a Lion?" don't think advertising creative directors are exempt. But the panel of marketing and tech professionals organized by Omnicom's PHD Worldwide wasn't so sure. "We think our own creativity is really special or mystical, but there are lots of mechanical aspects to it," said Wired magazine co-founder Kevin Kelly.

The artificial intelligence (AI) system is "based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explains Andrew Beck, an associate professor in pathology at Harvard Medical School, who heads the team developing the new system at Beth Israel Deaconess Medical Center (BIDMC), in Boston, MA. Prof. Beck and colleagues demonstrated the new AI system in a competition held at the annual meeting of the International Symposium of Biomedical Imaging (ISBI 2016) in Prague in April. He and his colleagues are developing AI methods that train computers to interpret pathology images to improve the accuracy of diagnoses. The approach they are using teaches computers to interpret the complex patterns seen in such images by "building multi-layer artificial neural networks," says Prof. Beck. The process is thought to be similar to the way learning takes place in the layers of neurons in the neocortex of the brain, the region where thinking occurs.

IN JULY 2011 Sebastian Thrun, who among other things is a professor at Stanford, posted a short video on YouTube, announcing that he and a colleague, Peter Norvig, were making their "Introduction to Artificial Intelligence" course available free online. By the time the course began in October, 160,000 people in 190 countries had signed up for it. At the same time Andrew Ng, also a Stanford professor, made one of his courses, on machine learning, available free online, for which 100,000 people enrolled. Both courses ran for ten weeks. Such online courses, with short video lectures, discussion boards for students and systems to grade their coursework automatically, became known as Massive Open Online Courses (MOOCs).

It has been the dream of science fiction fans since they first saw Captain Kirk and Spock disappear from the deck of the Enterprise, only to reappear on a planet in a haze of light. Now scientists in Russia are on a mission to bring Star Trek-style teleportation to life as part of a multi-trillion Rouble research and development drive. Russian investors say the plan isn't as far-fetched as it may seem, with much of the common technology used today inspired by sci-fi of decades gone by. The Russian government could develop the technology by 2035 as part of a 2.1 trillion ( 1.4 trillion) research and development drive. Investors say the plan isn't as far-fetched as it may seem, with much of the common technology used today inspired by sci-fi of decades gone by.