Items tagged with deep learning

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...
“Anything you can do I can do better; I can do anything better than you.” That is likely Microsoft’s mantra, as its research wizards have reached a milestone in speech recognition, with a word error rate (WER) of just 5.9 percent. That figure itself is down from last month, when Microsoft’s speech recognition system stood at 6.3 percent WER. “We’ve reached human parity,” said Xuedong Huang, Microsoft’s chief speech scientist. “This is an historic achievement.” But things are little bit better than that;Microsoft admits that’s speech recognition system actually “makes the same or fewer errors” than... 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... Read more...
We've been hearing about NVIDIA's NVLink for quite a while -- ever since the original announcement of Pascal -- but we've still not seen it put into broad use. That changes with NVIDIA's super-high-end Tesla P100, but it's still not shipping in huge quantities. What might come first is IBM's newest Linux-based servers, which also employ the use of NVLink for accelerated AI and deep-learning research. As you might suspect with the use of NVLink, IBM's latest Linux servers are GPU-focused, and because of that, IBM says that they can offer up to 80% better performance-per-dollar than solely x86-based... Read more...
Today’s opening keynote at the Intel Developers Forum focused on a number of forward-looking AI, deep learning, connectivity and networking technologies, like 5G and Silicon Photonics. But late in the address, Intel’s Vice President and General Manager of its Data Center Group (DCG), Diane Bryant, quickly dropped a few details regarding the company’s next-generation Xeon Phi processor, codenamed Knights Mill.Knights Mill is designed for high-performance machine learning and artificial intelligence workloads, and is currently slated for release sometime in 2017. According to Bryant, Knights Mill... Read more...
NVIDIA has just announced that its first-ever DGX-1 deep-learning server has found a home, and it couldn't be more appropriate. That new home is with OpenAI, the world's largest non-profit artificial intelligence research agency, which is based in San Francisco. If the OpenAI name sounds familiar but you can't quite place why, it's probably because we've talked about it a couple of times before. With the help of fellow industry legends, Tesla's Elon Musk helped launch OpenAI last year with a major goal: to progress AI with the mindset that it will benefit all humankind. The integration of... Read more...
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