Your electric bills could soar if you kept Nvidia's monster DGX-1 computer running continuously for one month. The DGX-1 supercomputer can deliver the computing power of 250 two-socket servers in a desktop box, claimed Nvidia, which introduced the system Tuesday at its GPU Technology Conference in San Jose, California. The computer can deliver about 170 teraflops of performance, and multiple boxes on a rack could deliver 2 petaflops of performance. The fastest computer in the world delivers a peak performance of about 10 petaflops. Nvidia says DGX-1 is about 56 times faster than a server with two Intel Xeon-E5 2697 v3 chips, which can deliver about 3 teraflops of performance.

Bergan Flannigan, of Plattsburgh, N.Y., says she used to "get a lot of stares" when she wore her prosthetic leg with the metal pipe exposed. "I feel like people don't look as much" with the cover, she says, "which I like." Bergan Flannigan, of Plattsburgh, N.Y., says she used to "get a lot of stares" when she wore her prosthetic leg with the metal pipe exposed. "I feel like people don't look as much" with the cover, she says, "which I like." Prosthetic limbs for people who have lost an arm or a leg have come a long way in the past decade.

Its Computer Science program was ranked among the top 25 in the world in 2015 by QS. The Cheriton School is part of Waterloo's highly regarded and unique Faculty of Mathematics, which also placed in the top 20 in the 2015 QS rankings With those credentials, it is little wonder that the Faculty has more than 7,500 graduate and undergraduate students. The unit's unique blend of computer scientists, mathematicians and statisticians comprise 250 full-time professors. Its researchers lead the scientific community with the depth of their work and the wide spectrum of computer science, mathematics and statistics topics covered. They span the range from theoretical foundations to the immediately practical in all areas.

As a pioneer in human-computer dialogue, multimodal interaction, and artificial intelligence, Phil has the charter to aggressively push VoiceBox's development of Artificial Intelligence (AI). He recently shared how the company's R&D investments and the formation of the Scientific Advisory Board which he oversees, will lead to groundbreaking AI solutions for Automakers. What recent milestones in AI have leading scientists buzzing? There have been numerous AI milestones over the past decade, including: winning the World Chess, Go, and Jeopardy championships, recognizing items in images, recognizing spoken language, and the translating of languages. Many of these milestones were supported by machine learning technologies, most recently Deep Learning Neural Networks (DNN). The basic ideas of neural networks have been worked on continuously for more than 50 years, starting with Rosenblatt's "perceptron".

Our universe certainly seems real, but in recent years, a growing number of scientists have begun to wonder if it's all just a sophisticated simulation. Are we and everything around us nothing more than points of data in some sort of cosmic hologram? A group of celebrated scientists, including Neil deGrasse Tyson, will sit down on Tuesday for a serious discussion of what may sound more like a sci-fi movie plot than reality. The event at New York City's American Museum of Natural History starts at 7 p.m. Eastern time. You can watch it live in the video above.

I believe Richard Feynman was one of our greatest scientific minds. He had a very particular way of looking at the world thanks to his father, and it was to look at the world around him as if he were a Martian. Like a fish born into water, it's hard to actually see water as being water, because it's all a fish ever knows. And so as humans, it's a good idea to try and step outside of our usual frame of mind, to see what it is we as humans think and do, from the perspective of a mind totally alien to our everyday environment. With that in mind, here's what humans are doing right now, from the perspective of someone from far, far away... What an interesting place and an interesting time it is for a visit.

IBM is currently attempting to merge artificial intelligence and the blockchain into a single, powerful prototype. With blockchain tech's promise of near-frictionless value exchange and artificial intelligence's ability to accelerate the analysis of massive amounts of data, the joining of the two could mark the beginning of an entirely new paradigm. Over the past three months, IBM's chief architect in charge of Internet of Things security Tim Hahn has focused specifically on introducing the blockchain to his company's artificially intelligent computer named Watson. "What we're doing with blockchain and devices is enabling the information those devices supply to effect the blockchain…You begin to approach the kind of things we see in movies." Potential applications include using distributed ledgers to perform tasks like running self-diagnoses at set times to more advanced services that may someday let regulators virtually go back in time to the point where a device failed and "to identify exactly what went wrong," Hahn said.

Imagine if you had a rare, undiagnosed disease that's stumped doctor after doctor. What if there were a single, secure database that could read your symptoms then run through thousands of clinical studies, similar patient records, and medical textbooks to present a risk-matched list of potential diseases? Just one year after its launch, IBM Watson Health is already starting to make this seemingly impossible task a reality, thanks to its powerful cognitive computing platform and a wide-reaching partnership strategy. Watson's vision is to enable better care by surfacing insights from the massive amounts of personal and academic health data that's being generated every day, but IBM ibm needs partners within the medical, pharmaceutical, and hospital fields to make that relevant to on-the-ground practitioners. It's institutions and companies like the Mayo Clinic, CVS Health cvs, and Memorial Sloan Kettering Cancer Center that are adapting the innovative new technology to real-life applications.

Nvidia chief executive Jen-Hsun Huang announced that the company has created a new chip, the Tesla P100, with 15 billion transistors for deep-learning computing. It's the biggest chip ever made, Huang said. Huang made the announcement during his keynote at the GPUTech conference in San Jose, Calif. He unveiled the chip after he said that deep learning artificial intelligence chips have already become the company's fastest-growing business. "We are changing so many things in one project," Huang said.

Nvidia chief executive Jen-Hsun Huang said that deep learning artificial intelligence has become a new computing platform, and the company is dealing with hundreds of startups in the space that plan to take advantage of the platform. Speaking at the GPUTech conference in San Jose, Calif., Huang noted that 5 billion was invested last year in A.I. startups, and there are probably a thousand companies working on the technology for applications ranging from face recognition to self-driving cars. "Deep learning is not an industry," he said. "Deep learning is going to be in every industry. Deep learning is going to be in every application."