The goals of AI is to create a machine which can mimic a human mind and to do that it needs learning capabilities.

I look at apps like Grindr and Tinder and see how they’ve rewritten sex culture — by creating a sexual landscape filled with vast amounts of incredibly graphic site-specific data — and I can’t help but wonder why there isn’t an app out there that rewrites political culture in the same manner. I don’t think there is. Therefore I’m inventing an app to do so and I’m calling it Wonkr — which somehow seems appropriate for a politically geared app. I dropped the “e” to make it feel more appy.

A Swiss computer was recently "arrested" for buying illegal products online. Who should take responsibility when artificial intelligence goes bad? Rose Eveleth reports

A reincarnation of one of the oldest ideas in artificial intelligence could finally make it possible to truly converse with our computers. And Facebook has a chance to make it happen first.

Ray Kurzweil popularized the Terminator-like moment he called the “singularity," when artificial intelligence (AI) overtakes human thinking. With all the advancements that have been made within the robotics industry and artificial intelligence, are we finally at the cusp of this reality? From robotics to microbots to machine-learning software, the growth of these technologies is surging. According to a report from Business Insider Intelligence, there will be a $1.5 billion market for...

Although GPUs have found a wider market in high performance computing in recent years, an emerging market is exploding in deep learning and computer vision with companies like Baidu and others continuing to push the processing speed and complexity envelope. While they are not always at the fore of general processing for Google, Microsoft, and other search giants, GPUs are fertile ground for research into new algorithms and approaches to machine learning and deep neural networks.

Computer scientists have discovered that robots evolve faster and more efficiently after a mass extinction. The team at the University of Texas, Austin used a simulated mass extinction modelled on real-life disasters, and found that it hastens evolution in artificial intelligence. The simulation involved connecting neural networks to simulated robot legs with the aim to make a robot evolve to the point it was walking stably.

If you're like most homeowners, you probably sneak a peek at your 'Zestimate' from time to time to see how your home's value might have changed. Here's a glimpse at the data science behind the curtain.

When it comes to artificial intelligence, we may all be suffering from the fallacy of availability: thinking that creating intelligence is much easier than it is, because we see examples all around us. In a recent poll, machine intelligence experts predicted that computers would gain human-level ability around the year 2050, and superhuman ability less than 30 years after. But, like a tribe on a tropical island littered with World War II debris imagining that the manufacture of aluminum...

As more companies and services use data to target individuals, those analytics could inadvertently amplify bias.

In a world first, an artificial intelligence machine plays chess by evaluating the board rather than using brute force to work out every possible move.

My kitchen opens up to my family room, where right smack in the middle sits Alexa, an Amazon Echo device. It feels strange to call Alexa a device, because she has been chatting with my family and is building out her personality. Tell Alexa, “You are stupid,” and she’ll reply, “I’ll try to do better next time,” and “That’s not very nice to say,” the second time. As Amazon applies machine learning, Alexa will learn and develop her personality to fit in my home differently from yours.

Even the simplest bacteria are smarter than the most advanced AI. Human behavior, in all its predictably irrational glory, is still the culmination of a complexity that dwarfs the relative primitiveness of the bacterium. Our bodies consist of 10 trillion eukaryotic cells working in concert with 100 trillion non-human guest cells. Our minds—grounded in these bodies—interact with a vast, dynamic world. Max Galka, an expert in machine learning, says that “machines have historically been very bad

This September, a team of astronomers noticed that the light from a distant star is flickering in a highly irregular pattern.1 They considered the possibility that comets, debris, and impacts could account for their observations, but each of these explanations was unlikely to varying degrees.2 What their paper didn’t explore, but they and others are beginning to speculate, is that the flickering might be caused by enormous structures built by an advanced civilization—whether the light might...

When Google parent company Alphabet reported eye-popping earnings last week, its executives couldn't stop talking up the company's investments in machine learning and artificial intelligence. For any other company that would be a wonky distraction from its core business. At Google, the two are intertwined. Artificial intelligence sits at the extreme end of machine learning, which sees people create software that can learn about the world.

TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system. Website includes download, tutorial, FAQs, documentation, etc.

Tech Pundit Tim O’Reilly had just tried the new Google Photos app, and he was amazed by the depth of its artificial intelligence. O’Reilly was standing a few feet from Google CEO and co-founder Larry Page this past May, at a small cocktail reception for the press at the annual Google I/O conference—the centerpiece of the company’s year. Google had unveiled its personal photos app earlier in the day, and O’Reilly marveled that if he typed something...

An artificial intelligence program has achieved an above-average score on a Japanese university entrance exam whose subjects included math, physics and English, the National Institute of Informatics said.

Half of Japan’s working population could be replaced by robots or artificial-intelligence programs within the next 10 to 20 years, Nomura Research Institute said in a report released Wednesday. The institute studied about 600 occupations together with researchers from Oxford University. They used an algorithm to examine each profession and the level of creativity or systematic flow it required by the worker, and found that 49% of them could be handled by computerization.

Big name investors and companies are investing in the bleeding edge of artificial intelligence. For the last five years the effort to teach computers to think more like humans, to learn how to recognize speech and images on their own has been the goal of deep learning. But now tech giants and startups in the industry are turning to new tools believing that deep learning has essentially solved its recognition problem.