Items tagged with machine learning

It seems as though Google is constantly changing the way it delivers news to users, and that's because it is. And like many technology companies, Google is invested in machine learning technology with sophisticated algorithms to better anticipate what is most interesting to you. Taking things a step further, Google has tweaked its feed, which it introduced last December to its Google app, to not only display information based on your interactions with Google, but also factor in what's trending in your specific area and around the world. Short and to the point, Google says the more you use its app, the better your feed will be with items that are more relevant to what you are interested in. "As... Read more...
We talked yesterday of an example of how deep learning and artificial intelligence can be used to put words in people's mouths, creating video proof of something someone said, even if they didn't really say it. Prospects like that are downright scary, but so too are the realities of the jobs AI will be able to take away from humans. Case in point: professional photography editing. This is a bit of an odd one, as most photographers will edit their own photos, so maybe we should consider this an example of how AI could help someone get through their workflow more efficiently. And perhaps even deliver a better result in the end. Using AI to apply a variety of filters to a photo and calling... Read more...
Google is heavily invested in artificial intelligence, one of the hottest fields in tech right now right alongside machine learning, the two of which are tightly intertwined with one another. As part of its ongoing effort in AI, Google's DeepMind team has opened up an AI research office in Edmonton, Canada. This is the teams first and only AI research office located outside of the UK. "It was a big decision for us to open our first non-UK research lab, and the fact we’re doing so in Edmonton is a sign of the deep admiration and respect we have for the Canadian research community," Google stated in a blog post. "In fact, we’ve had particularly strong links with the UAlberta for many years: nearly... Read more...
Your Tinder profile may be getting some unwelcome attention, since a machine learning platform recently uploaded facial data from roughly 40,000 Tinder profiles. The data is available on GitHub and has been uploaded under a CC0: Public Domain License. The data set “People of Tinder” was released with six downloadable zip file, four of which contained around 10,000 profile images apiece and two files with sample sets of 500 images per gender. Some users have scrapped multiple photos, so it is possible that there are less than 40,000 images. The profile pictures are from Tinder users around the Bay Area of northern California.Stuart Colianni, the developer of the data set, stated that he released... Read more...
We have been talking about benefits of machine-learning investments for quite some time. There's simply an incredible amount of potential and opportunities that can come from these learning machines - especially where the medical field is concerned. IBM's Watson might have been one of the first major computers to be used in this way, but the number of dedicated learning machines out there continues to grow by the day. The human body (and the systems of any living thing, in general) is seriously complex. Doctors can do their best to diagnose issues, but as a mere mortal, there's just no guarantee that they'll be able to correctly detect all ailments, especially when diagnosing certain issues in... Read more...
If you’re a regular user of Google Photos, then you know that the app and online version of the service uses machine learning to “put a name to a face”, making it easy to organize or search for photos by typing in a person’s name. Or you could type in the search term “beach”, for example, to bring up some photos from your last trip to the coast. Google is now expanding those capabilities to videos, with the Cloud Video Intelligence API. This new API, which is currently in Private Beta, employs deep learning and the TensorFlow framework to analyze online videos and pick out pertinent details for tagging purposes. Not only can the API detect objects within a video, like a baseball or baseball bat... Read more...
Watch out world, machines are beating flesh and blood opponents in a variety of different contests. There was Watson, a smarty pants question answering system developed by IBM that took on and defeated the world's best Jeopardy opponents. Then Google's DeepMind division built an artificial intelligence program called AlphaGo that became the world's top Go player. And now there's an AI that seemingly has no equal in Nintendo's Super Smash Bros. game. The AI team was led by Vlad Firoiu at Massachusetts Institute of Technology (MIT). Using deep learning algorithms, the teamed honed the AI's skills in Nintendo's popular brawler featuring iconic game characters. The goal in the game is to knock the... Read more...
According to Google, more than half of the world's population is still without Internet access. One of Google's ambitious goals is to change that statistic. That's no easy task for several reasons, one of which is that some locations are just too remote for ISPs to set foot in. Google has been experimenting with different ways of solving this problem, including the deployment of balloons that beam Internet connectivity in hard to reach places. This is an ongoing effort and one that is becoming more viable thanks to the adoption of machine learning. "You make unexpected discoveries that propel you forward faster than you ever thought possible. That’s the less-well-known secret of our moonshot... Read more...
You don't need to look very far to see examples of how machine- and deep-learning could enrich our lives. You might be surprised, given how often we hear about deep-learning nowadays, that most companies have only been utilizing the technology to a notable degree for the past couple of years - including Amazon. Despite that, we've seen some amazing things accomplished in a relatively short time. With Amazon specifically, we've seen the company sell the fruits of its deep-learning labor to those who need reliable predictive services, use it to improve its product reviews sections, and of course, improve the usefulness of its Alexa AI, found in products like Amazon Echo. Today, Amazon is... Read more...
In no uncertain terms, Facebook says "discriminatory advertising has no place" on the world's largest social network. To keep it off of there, Facebook last fall started providing better education to advertisers about its prohibition against discrimination. It also beefed up the procedures it uses to enforce prohibition. Now it is taking things a step further by implementing strong enforcement tools and testing machine learning solutions. This is not a new frontier for Facebook, or technology companies in general. Machine learning is one of the hottest areas of computing right now. Just last week, Facebook explained how it was using machine learning and artificial intelligence to understand the... Read more...
If you’re a Raspberry Pi developer that is at all interested in artificial intelligence (AI) and machine learning, we’ve got a treat in store for you. Google is looking to bring its AI and machine learning tools to the Raspberry Pi starting this year, but it wants your help and input to make it happen. Google has launched a survey that includes questions about how often developers spend working on software and hardware projects, and if they are interested in fields ranging from wearables to drones to IoT to robotics to 3D printing. It will use input gained from this survey to narrow its focus on the tools that are provided later this year. Google writes: Thank you for taking the time to take... Read more...
These days, machine-learning along with artificial intelligence are becoming increasingly capable, and we're seeing their use applied to things we might not have immediately expected. Case in point: last month, we talked about how AI was being used to craft the most perfect beer. But as wonderous as AI beer may sound, researchers at Carnegie Mellon University are going in a completely different direction, proving that a poker face is no match for advanced AI. By design, poker is a simple game, but it's not at all simple on a competitive level. Even if you believe body language says your opponent isn't bluffing, they very well could still be, and there's a chance an AI opponent might be able... Read more...
Machine learning and artificial intelligence are two intertwined and fast-growing fields that are getting attention from some of the world's biggest technology companies, including Microsoft, IBM, Facebook, Google, and now Apple. The latter joins the fray after having published its first AI paper this month (it was submitted in November) that describes a technique on how to greatly improve computer vision and pattern recognition in machines. This is a pretty big deal, and not just because of the technology involved in the paper. Unlike many other companies involved in AI research and machine learning technologies, Apple has kept its research tight lipped and out of the public eye. Publishing... Read more...
If you loathe having to talk out loud when ordering a meal at a fast-food restaurant, and you happen to love KFC, then you might want to start considering packing it up and moving to China where Baidu has just teamed up with the major chicken brand to create a more automated restaurant. At this particular KFC location in China, patrons can walk up to a display and simply let it decide a meal for them (don't fret: the user can override with their own choices). The idea here is to see how good Baidu's algorithm can guess what someone's in the mood for, based on a variety of metrics and some machine learning. In a particular example, a man in his 20s might get a suggestion for a crispy chicken burger,... Read more...
It's clearer than ever that our future is going to include a lot of automation, and that even includes our passenger cars, trucks, and mass transit. Companies like Google, Tesla, and NVIDIA have been working hard to develop technologies that will allow people to drive without even having to pay attention to the road. Of course, with technologies that can put everyone's lives at risk, the government hasn't been hasty in allowing the autonomous transition to happen. Autonomous technology today is without question, impressive, but to persuade the governments to approve autonomous vehicles from littering the road, a lot more has to be done. Today, we learn of a proposal of mandatory vehicle-to-vehicle... Read more...
Finally. That's all that can be really said about Apple admitting to the world that it's working on autonomous driving technologies. The company has been infamously, and perhaps infuriatingly mum on the fact that it's been working on such tech, even though there have been a countless number of hints to it. Well, we now know that Apple is indeed working on self-driving technologies. Apple could be targeting the likes of Tesla sooner than later... In a letter to the National Highway Traffic Safety Administration (NHTSA), Apple says that it's feeding off of its expertise in machine-learning to help create automated systems, particularly in the transportation market: Apple uses machine learning to... Read more...
Google's DeepMind has been working on some truly incredible things over the past couple of years. Just last week, we learned that DeepMind would be teaching itself how to play StarCraft II, which wouldn't be the first time it had a gaming focus. Before Google acquired DeepMind a couple of years ago, its AI was used to learn and conquer Atari games, and more recently, it taught itself how to beat an expert at Go. Since then, we've seen DeepMind used to enhance AI-speech generation, and even work to conquer blindness. Now it's going to teach itself how to identify objects in a virtual world. As we covered last month, DeepMind's engineers have been hard at work on helping its AI teach itself, and... Read more...
IBM has just made available to developers an experimental version of Project Intu, a system agnostic platform that allows for the integration of Watson capabilities into various end-user form factors. With Project Intu, developers can incorporate cognitive experiences into a variety of products and services, including avatars, robots, drones, and the growing Internet of Things (IoT) category, to name a few. One could view this as a step towards bringing machine learning into consumer devices and everyday products. Forget about today's crop of digital assistants like Siri and Cortana, Project Intu could lead to much more immersive experiences by enabling devices to interact in a more natural way... Read more...
A lot has been accomplished with Google's DeepMind artificial intelligence subsidiary, and it looks like the progress train isn't about to slow down anytime soon. As a quick recap, this year alone we've seen DeepMind take down a Go player, get started on an AI kill switch, attempt to cure blindness, improve speech generation, and even slash a mammoth power bill. What's next? Completely self-contained learning. We wouldn't be shocked if you started having ideas of Skynet running through your head right now. With a new hybrid system called Differentiable Neural Computer (DNC), a neural network is paired with external storage (aka: a large external dataset), and the computer's AI is smart enough... Read more...
Let’s face it, cancer sucks! We’re sure that at all of us knows someone who is battling cancer or has lost a friend of close family member due to the perils of cancer. Given that this disease touches just about all of us, it should come as no surprise that billions of dollars are poured into researching cancer and ways to eradicate it for good. Luckily, the fine folks at Microsoft are well on their way to cracking the secret code that allows cancer to propagate in a host body. Microsoft’s researchers from around the world are working together using artificial intelligence to effectively “solve” the cancer problem. Microsoft is attacking cancer from multiple fronts, with some of its research teams... Read more...
Apple is obviously trying to up its AI game to compete with the likes of Google, Microsoft, Amazon and Facebook. The company just acquired Turi, a machine learning platform startup, for $200 million USD, which should help bring in some much needed IP. Turi began as an open-source project at Carnegie Mellon University in 2009, under the watchful eye of Professor Carlos Gusterin. Gusterin relocated to the University of Washington where he received an endowed professorship in machine learning from Amazon founder Jeff Bezos. He eventually turned the open-source project into an independent business and dubbed it GraphLab. GraphLab raised $6.75 million in 2009 and $18.5 million in 2015 from Madrona... Read more...
Google DeepMind recently commenced a new collaboration with the United Kingdom’s National Health Service (NHS). DeepMind is working with Moorfields Eye Hospital in east London. The goal is to create a machine learning system that will be able use digital eye scans in order to recognize sight-threatening conditions. Moorfields Eye Hospital DeepMind researchers will use millions of anonymous eye scans to train an algorithm to better spot the early signs of eye conditions. Professor Peng Tee Khaw, the head of Moorfields’ Ophthalmology Research Centre, remarked, “These scans are incredibly detailed, more detailed than any other scan of the body we do: we can see at the cellular level.” This... Read more...
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