Items tagged with deep learning

Hot on the heels of the debut of its 8th gen Core series, and also its brand-new top-end Core X chips, Intel just announced Loihi. With this new chip, Intel is going all-in on artificial intelligence (AI) and self-learning. It also drops a term you may have heard recently: neuromorphic computing; in effect, neural systems simulation. In his blog post, Intel's Corporate VP and Managing Director of Intel Labs Dr. Michael Mayberry lays down a couple of great examples of how AI could benefit our lives in the future. Picture, for example, stoplight-mounted cameras being tied to an AI backend that adjusted... Read more...
Microsoft was on hand at the Hot Chips 2017 show and rolled out a new deep learning acceleration platform dubbed Project Brainwave. Microsoft's Doug Burger says that the platform is a "major leap forward in both performance and flexibility for cloud-based serving of deep learning models." Microsoft says that it designed the system for real-time AI so the system is able to process requests as fast as they are received with ultra-low latency. Microsoft says that real-time AIs are becoming increasingly important to process live data streams in a cloud infrastructure. That sort of data includes things... Read more...
Intel is expanding its reach into the deep learning field today with the launch of the Neural Compute Stick (NCS), which as developed by its Movidius subsidiary. The Movidius NCS is aimed at democratizing deep learning and artificial intelligence, with Intel billing it as “the world’s first self-contained AI accelerator in a USB format.” The Movidius NCS is powered by the Myriad 2 vision processing unit (VPU), which promises 100 gigaflops of performance all while operating within a 1-watt power envelope. Given its low-power requirements, Intel is aiming the Movidius NCS at developers, research... 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... Read more...
Many of us have had to heed the warning of, "Don't put words in my mouth" at some point over the course of our lives, but generally speaking, no one actually means it from in a literal sense. In time, though, thanks to deep learning and artificial intelligence, putting words in someone's mouth could become a legitimate reality. Complementing the upcoming SIGGRAPH conference in Los Angeles, researchers from University of Washington have worked their magic to put words into former President Barack Obama's mouth. At least in this case, the words said actually did come from Obama's mouth, but the footage... Read more...
A board game like "Go" might not look complicated on the surface to the untrained eye, which could lead the uninformed to believe that it wouldn't be all that difficult for a computer to best a human player in a head-to-head match. We've seen many examples in the past where that hasn't been the case (IBM's Watson is a good start), and it's because despite their simple nature, the number of solutions/moves at any given time is sometimes astronomical. Last month, we wrote about Google's DeepMind and its challenge of going up against the world's best Go player, Ke Jie. Fast-forward to now, and... Read more...
NVIDIA's push into deep learning and artificial intelligence markets is is paying off in a big way. As a result of its ongoing investments into data center GPUs, the company was able to rake in $1.94 billion in revenue during the first quarter of 2017, an increase of 48 percent from $1.3 billion in same quarter a year ago. After paying the bills, NVIDIA was left with a profit of $507 million, up a whopping 144 percent from last year. "The AI revolution is moving fast and continuing to accelerate," said Jensen Huang, founder and chief executive officer of NVIDIA. "NVIDIA's GPU deep learning platform... Read more...
We are starting to sense a recurring theme from NVIDIA at the annual GPU Technology Conference (GTC). Last year at GTC NVIDIA unveiled its DGX-1, the world's first deep learning supercomputer. Featuring Tesla P100 GPUs based on its Pascal architecture, the DGX-1 made clear NVIDIA's commitment to deep learning and artificial intelligence. Building on top of that, NVIDIA announced at this year's GTC plans to train 100,000 developers through its Deep Learning Institute in 2017. That is a tenfold increase over the number of developers it trained last year. The reason NVIDIA is making such a big commitment... 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,... Read more...
Over the years, we've seen numerous examples of how AI can enrich our lives. It could brew us an awesome beer, solve serious health diagnosis cases, and of course, handle every day problem solving tasks in a number of other ways. We can also use AI and deep learning to simulate real-world scenarios, such as what would happen if resources became scarce, among other other growing environmental concerns. Google's DeepMind team has just detailed one the projects it's working on that revolves around that exact subject. They have also created two demos (seen in the videos below) to showcase... 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... Read more...
AMD is announcing a new series of Radeon-branded products today, targeted at machine intelligence (AI) and deep learning enterprise applications, called Radeon Instinct. As its name suggests, the new Radeon Instinct line of products are comprised of GPU-based solutions for deep learning, inference, and training. The new GPUs are also complemented by a free, open-source library and framework for GPU accelerators, dubbed MIOpen. MIOpen is architected for high-performance machine intelligence applications, and is optimized for the deep learning frameworks in AMD’s ROCm software suite, which we... 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... Read more...
We often joke about certain advances in technology leading to Skynet scenarios where machines wage war with humans, but sometimes it feels inevitable. Take for example what a team of researchers from Google Brain, Google's deep learning project, have discovered. In our quest to advance machine learning capabilities, neural networks are now able to devise their own encryption schemes, which in turn could allow them to communicate in secret with each other.Potential for human extinction aside, it's a rather fascinating thing. Neural networks are computer systems loosely modeled after the neural structure... Read more...
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