Look no further than Google's Tensor Processing Unit (TPU), SoftBank's acquisition of ARM (SoftBank hopes to be a big player in AI), and now a venture-backed startup rolling out a family of "Deep Learning" computers. That startup is Wave Computing, based in Campbell, Calif. The six-year-old company came out of stealth mode Thursday (July 21), revealing its design of a massively parallel dataflow processing architecture called the Wave Dataflow Processing Unit (DPU) for deep learning. Derek Meyer, Wave Computing CEO, told EE Times, "In order to accelerate deep learning, the world needs a new computing architecture." Traditional computer architectures are designed for control flow-oriented applications.
Over the weekend, a senior researcher at Google spoke about how he and his team are trying to build a computer that can be creative. Douglas Eck, part of Google Brain, a deep-learning research project explained at Moogfest, a four-day music and technology festival in the US that he and his team are using TensorFlow, an open-source library for machine intelligence to investigate whether AI systems can be taught to create original pieces of music, art or even video. Our biggest ever edition of TNW Conference is fast approaching! The inspiration behind the project, Eck explained, was to create a computer system that could create entirely new pieces of music on a regular basis. While an impressive engineering feat, it completely misses the point of what creativity is, and its importance in helping us interpret, challenge and add meaning to our existence.
Associate Professor Julian Togelius works at the intersection of artificial intelligence (AI) and games--a largely unexplored juncture that he has shown can be the site of visionary and mind-expanding research. Could games provide a better AI test bed than robots, which--despite the way they excite public imagination--can be slow, unwieldy and expensive? According to him, the answer is resoundingly yes. "I'm teaching computers to be more creative than humans," he says. Togelius, a member of the NYU Tandon School of Engineering's Department of Computer Science and Engineering, is at the forefront of the study of procedural content generation (PCG)--the process of creating game content (such as levels, maps, rules, and environments) by employing algorithms, rather than direct user input.
It was the year 2011, and three of the world's best Jeopardy players were facing off in what was soon to become a historical game, for it was that day the third player reached its acclaimed status on the Jeopardy leaderboard. The buzz around Artificial Intelligence these days is very real, and there are new and amazing events blossoming across all avenues of this corner in the technology space. Naysayers have you believe, quoting similar waves back in the 80s, that real advancement is still few and far between. Yaysayers will tell you the future is now, and about to spiral into Utopian proportions. All we truly know is that A.I. is here, and here to stay... Probably...
Once thought safe, DDR4 memory shown to be vulnerable to "Rowhammer" Physical weaknesses in memory chips that make computers and servers susceptible to hack attacks dubbed "Rowhammer" are more exploitable than previously thought and extend to DDR4 modules, not just DDR3, according to a recently published research paper. The paper, titled How Rowhammer Could Be Used to Exploit Weaknesses in Computer Hardware... Ars Technica How HTC and Valve built the Vive Long before the Vive was born, both software developer Valve and phone manufacturer HTC were separately looking into virtual reality. In 2012, VR was beginning to creep back into the public imagination. It started in May of that year, when id Software's John Carmack demoed a modified Oculus Rift running Doom 3. The following month, he took the Rift to a wider audience at the E3 games convention. By August, Palmer Luckey launched the Oculus Kickstarter campaign, and it broke records.