Lifeboat Foundation

Interesting approach.

A group of scientists has created a neural network based on polymeric memristors — devices that can potentially be used to build fundamentally new computers. These developments will primarily help in creating technologies for machine vision, hearing, and other machine sensory systems, and also for intelligent control systems in various fields of applications, including autonomous robots.

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Google’s machine learning group is licensing new chip technology to make the devices in our pockets more intelligent and autonomous.

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An international team of researchers has developed a new algorithm that could one day help scientists reprogram cells to plug any kind of gap in the human body. The computer code model, called Mogrify, is designed to make the process of creating pluripotent stem cells much quicker and more straightforward than ever before.

A pluripotent stem cell is one that has the potential to become any type of specialised cell in the body: eye tissue, or a neural cell, or cells to build a heart. In theory, that would open up the potential for doctors to regrow limbs, make organs to order, and patch up the human body in all kinds of ways that aren’t currently possible.

It was Japanese researcher Shinya Yamanaka who first reprogrammed cells in this way back in 2007 — it later earned him a Nobel Prize — but Yamanaka’s work involved a lot of labourious trial and error, and the process he followed is not an easy one to reproduce. Mogrify aims to compute the required set of factors to change cells instead, and it’s passed its early tests with flying colours.

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Scientists hope to create a computer that can interpret, analyze, and process information with the same efficiency as a human.

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Cannot wait for the new AR contacts.

NEW YORK, Jan. 21, 2016 /PRNewswire/ — This new IDTechEx report is focused on how the market for smart glasses and contact lenses is going to evolve in the next decade, based on the exciting research and developments efforts of recent years along with the high visibility some projects and collaborations have enjoyed. The amount of visibility this space is experiencing is exciting developers of a range of allied technologies into fast-tracking/focusing their efforts, as well as creating devices and components designed specifically to serve this emerging industry.

Some of the newest devices that have ignited significant interest in smart eyewear are going above and beyond the conventional definition of a smart object; they are in effect, portable, wearable computers with a host of functionalities, specially designed apps etc. that add new ways for the wearer to interact with the world along with smartphone capabilities, health tracking options and many other features. The features of some of the more advanced devices have been based on and have sparked worldwide innovation efforts aiming to create an ecosystem of components that will enable what is bound to be a revolution in form factor for wearables.

Continue reading “AR & VR Smartglasses and Functional Contact Lenses 2016-2026” »

Dear readers,

I had the honor of speaking on the future of technology at the Nobel Prize gatherings in Gothenburg, Sweden. Every year, the Nobel Prize picks a theme of interest to the world on the state of sciences in different arenas. This year’s theme was the future of intelligence, with a focus on different technologies that are changing our ability to see and understand large sets of information and create computer systems that might reach human level thinking — I believe that progress is accelerating.

Continue reading “Ray Kurzweil keynote and panel at Nobel Week Dialog from the Nobel Prize” »

This all sounds extremely familiar to me for some reason. And, really ties in well with my recent articles on “AI holding your data hostage” and “Quantum Computing — things that need to be considered” — glad more folks are speaking up.

Speaking at the World Economic Forum in the Swiss Alps, Nita Farahany, a professor of law and philosophy, said the device reading brain activity could be accessed by ‘not good Samaritans’.

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Every month, we’re seeing more and more researchers and companies break the Quantum barrier by making their own Quantum Chip. Yale is the latest ones to introduce their own Quantum Chip. Next stop; a programmable Quantum Processor

In what can only be termed as a big step in the manufacture of practical quantum circuits, engineers from the Yale School of Engineering and Applied Science have created a silicon chip embedded with all the required components for a quantum processor.

Quantum computers are often portrayed as the next step in computer technology, and with good reason. Theoretically, a quantum computer would be thousands of times faster than today’s fastest supercomputers. They could also help in the creation of a practically capable AI. Quantum computers would drastically improve humanity’s data processing capabilities, and that is why researchers have been working for years towards their realization.

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