Lifeboat Foundation

Electric bus that recharges in 15 seconds!

It takes these electric buses less time to recharge than it does to pick up passengers thanks to flash charging technology developed by ABB.

Intel has planted some solid stakes in the ground for the future of deep learning over the last month with its acquisition of deep learning chip startup, Nervana Systems, and most recently, mobile and embedded machine learning company, Movidius.

These new pieces will snap into Intel’s still-forming puzzle for capturing the supposed billion-plus dollar market ahead for deep learning, which is complemented by its own Knights Mill effort and software optimization work on machine learning codes and tooling. At the same time, just down the coast, Nvidia is firming up the market for its own GPU training and inference chips as well as its own hardware outfitted with the latest Pascal GPUs and requisite deep learning libraries.

While Intel’s efforts have garnered significant headlines recently with that surprising pair of acquisitions, a move which is pushing Nvidia harder to demonstrate how GPU acceleration (thus far the dominant compute engine for model training), they still have some work to do to capture mindshare for this emerging market. Further complicating this is the fact that the last two years have brought a number of newcomers to the field—deep learning chip upstarts touting the idea that general purpose architectures (including GPUs) cannot compare to a low precision, fixed point, specialized approach. In fact, we could be moving into a “Cambrian explosion” for computer architecture–one that is brought about by the new requirements of deep learning. Assuming, of course, there are really enough applications and users in a short enough window that the chip startups don’t fall over waiting for their big bang.

Continue reading “The Next Wave of Deep Learning Architectures” »

Keep in mind as you plan your hardware purchases — AMD CPUs, APUs, and Intel CPUs are all Windows 10-only from this point forward. AMD GPUs will continue to support Windows 7 and 8 for now, though we don’t know when the company will terminate this.

In an attempt to bring the next generation of computers to life, teams around the globe have been working with carbon nanotubes — one of the most conductive materials ever discovered. Now, for the first time ever, scientists made a transistor using carbon nanotubes that beats silicon.

For the first time, scientists have built a transistor out of carbon nanotubes that can run almost twice as fast as its silicon counterparts.

Continue reading “For First Time Ever, Carbon Nanotube Transistors Have Outperformed Silicon” »

No shock to me.

Diamandis claimed that we are gearing towards a future possible of “interface mind-machine, where in human brain’s consciousness could be uploaded to computer and then transferred to a new body—probably a cultured in the lab. He estimates that it will just take 20–30 years to be realized.

The reality of extended life longevity to almost immortality is actually not too hard to believe these days. After all science and technology never failed to amuse us to make the once impossible possible.

Continue reading “We Might Be Getting Closer To ‘Immortality’ Through Medical Nanotechnology” »

A LiquidPiston X engine.

DARPA made this dream a reality, as they have succeeded in manufacturing an engine of just 1.8 kilograms with dimensions of a 5-inch smartphone, but the most attractive of all is the fact that you do not need pistons or oil for operation.

Continue reading “How It Works – DARPA’s Amazing LiquidPiston X Engine!” »

Insiders indicate that Google may be nearing its goal of “quantum supremacy,” creating a computer that can outperform classical computers (at least in some tasks) by the end of next year.

If there’s one thing that’s painfully clear, its that classical computing tech is nearing its limit. Many have predicted the end of Moore’s law, and they are looking at the next step in the computing world: quantum computers.

And new reports assert that we may be on the verge of a breakthrough.

Continue reading “Google’s Quantum Computer May be Superior to Conventional Computers by 2018” »

If anyone is interested in being part of computing history; do we have a program for you. Called the “The Alice Experiment”; this experiment will soon be open to the public, where you can take part in the quantum physics experiment simply by playing an online video game.

If you have always dreamed of helping out with a quantum physics experiment, now is you chance. And all you need to do is play a video game.

Continue reading “Scientists need your help to build a quantum computer” »

Geordie’s perspective of AI on QC…

By Piper McGowin

Continue reading “Quantum Computing: Artificial Intelligence Is Here” »