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At a time when PCs have become rather boring and the market has stagnated, the Graphics Processing Unit (GPU) has become more interesting and not for what it has traditionally done (graphical user interface), but for what it can do going forward. GPUs are a key enabler for the PC and workstation market, both for enthusiast seeking to increase graphics performance for games and developers and designers looking to create realistic new videos and images. However, the traditional PC market has been in decline for several years as consumer shift to mobile computing solutions like smartphones. At the same time, the industry has been working to expand the use of GPUs as a computing accelerator because of the massive parallel compute capabilities, often providing the horsepower for top supercomputers. NVIDIA has been a pioneer in this GPU compute market with its CUDA platform, enabling leading researchers to perform leading edge research and continue to develop new uses for GPU acceleration.

Now, the industry is looking to leverage over 40 years of GPU history and innovation to create more advanced computer intelligence. Through the use of sensors, increased connectivity, and new learning technique, researchers can enable artificial intelligence (AI) applications for everything from autonomous vehicles to scientific research. This, however, requires unprecedented levels of computing power, something the NVIDIA is driven to provide. At the GPU Technology Conference (GTC) in San Jose, California, NVIDIA just announced a new GPU platform that takes computing to the extreme. NVIDIA introduced the Telsa P100 platform. NVIDIA CEO Jen-Hsun Huang described the Tesla P100 as the first GPU designed for hyperscale datacenter applications. It features NVIDIA’s new Pascal GPU architecture, the latest memory and semiconductor process, and packaging technology – all to create the densest compute platform to date.

Pupil tracking VR headset.

Control other devices with just your eyes.

This revolutionary surgery could change the way doctors treat knee injuries.

“Chat bots tap into two very current preoccupations. On one hand, the hope that they can actually work is a reflection of the ongoing explosion of AI, and on the other, they offer a way to reach users without having to get them to install an app.”

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Reshaping how you think about the future:

“The future is widely misunderstood. Our forebears expected it to be pretty much like their present, which had been pretty much like their past.” –Ray Kurzweil, The Singularity Is Near

We humans aren’t great predictors of the future. For most of history, our experience has been “local and linear.” Not much change occurred generation to generation: We used the same tools, ate the same meals, lived in the same general place.

Continue reading “How to Think Exponentially and Better Predict the Future” »

April 5, 2016, New York — People are using brain-machine interfaces to restore motor function in ways never before possible — through limb prosthetics and exoskletons. But technologies to repair and improve cognition have been more elusive. That is rapidly changing with new tools — from fully implantable brain devices to neuron-eavesdropping grids atop the brain — to directly probe the mind.

These new technologies, being presented today at the Cognitive Neuroscience Society (CNS) annual conference in New York City, are mapping new understandings of cognition and advancing efforts to improve memory and learning in patients with cognitive deficits.

Eavesdropping on neurons

“A new era” of electrophysiology is now upon us, says Josef Parvizi of Stanford University who is chairing the CNS symposium on the topic. “We have gotten a much sharper view of the brain’s electrophysiological activity” using techniques once relegated to science fiction.

Continue reading “Invading the brain to understand and repair cognition” »

A new satellite mission has observed electron acceleration by electric field waves moving along the magnetic boundary between the Earth and the solar wind.

Reports of the death of car-buying among millennials turn out to have been greatly exaggerated. But there’s one big reason ride-hailing services like Uber, and eventually autonomous vehicles, are still a threat to private car ownership.

Put simply, we just don’t use our cars very much.