Lifeboat Foundation

Ask an Information Architect, CDO, Data Architect (Enterprise and non-Enterprise) they will tell you they have always known that information/ data is a basic staple like Electricity all along; and glad that folks are finally realizing it. So, the same view that we apply to utilities as core to our infrastructure & survival; we should also apply the same value and view about information. And, in fact, information in some areas can be even more important than electricity when you consider information can launch missals, cure diseases, make you poor or wealthy, take down a government or even a country.

What is information? Is it energy, matter, or something completely different? Although we take this word for granted and without much thought in today’s world of fast Internet and digital media, this was not the case in 1948 when Claude Shannon laid the foundations of information theory. His landmark paper interpreted information in purely mathematical terms, a decision that dematerialized information forever more. Not surprisingly, there are many nowadays that claim — rather unthinkingly — that human consciousness can be expressed as “pure information”, i.e. as something immaterial graced with digital immortality. And yet there is something fundamentally materialistic about information that we often ignore, although it stares us — literally — in the eye: the hardware that makes information happen.

As users we constantly interact with information via a machine of some kind, such as our laptop, smartphone or wearable. As developers or programmers we code via a computer terminal. As computer or network engineers we often have to wade through the sheltering heat of a server farm, or deal with the material properties of optical fibre or copper in our designs. Hardware and software are the fundamental ingredients of our digital world, both necessary not only in engineering information systems but in interacting with them as well. But this status quo is about to be massively disrupted by Artificial Intelligence.

Continue reading “How AI will make information akin to electricity” »

https://youtube.com/watch?v=EyOuVFQNMLI

Cambridge University spin-out Optalysys has been awarded a $350k grant for a 13-month project from the US Defense Advanced Research Projects Agency (DARPA). The project will see the company advance their research in developing and applying their optical co-processing technology to solving complex mathematical equations. These equations are relevant to large-scale scientific and engineering simulations such as weather prediction and aerodynamics.

The Optalysys technology is extremely energy efficient, using light rather than electricity to perform intensive mathematical calculations. The company aims to provide existing computer systems with massively boosted processing capabilities, with the aim to eventually reach exaFLOP rates (a billion billion calculations per second). The technology operates at a fraction of the energy cost of conventional high-performance computers (HPCs) and has the potential to operate at orders of magnitude faster.

Continue reading “Optical Processing Pioneer wins Project with DARPA” »

I forgot Sony in the list of contact lens patents. Sony’s new camera contact patent. So, we have Google, Huawei, and Samsung with AR and CPU patents and Sony’s patents on the camera. Waiting for Apple and my favorite Microsoft’s announcements.

Sony has joined Google and Samsung in the world of contact lens camera patents, Sony’s version also has zoom and aperture control built in.

Well; US DoE and EPA has already been using AI for a very, very long time in monitoring and proactively acting on any waste release. How do I know? I was one of the lead architects and developers of the solution.

As computers get smarter, scientists look at new ways to enlist them in environmental protection.

Nice; however, I see also 3D printing along with machine learning being part of any cosmetic procedures and surgeries.

With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning—a subfield of artificial intelligence—to improve medical care and patient outcomes. An overview of machine learning and some of the ways it could contribute to advancements in plastic surgery are presented in a special topic article in the May issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).

“Machine learning has the potential to become a powerful tool in plastic surgery, allowing surgeons to harness complex clinical data to help guide key clinical decision-making,” write Dr. Jonathan Kanevsky of McGill University, Montreal, and colleagues. They highlight some key areas in which machine learning and “Big Data” could contribute to progress in plastic and reconstructive surgery.

Machine Learning Shows Promise in Plastic Surgery Research and Practice

Continue reading “‘Machine learning’ may contribute to new advances in plastic surgery” »

Not only Google; there is Huawei and their AR contacts and Samsung are also making AR Contacts. And, the news 3 weeks ago shows that Samsung has applied for their own patent.

Google has filed a patent for what sounds like a bionic eye.

A patent filed in 2014 and published Thursday describes a device that could correct vision without putting contacts in or wearing glasses everyday.

Continue reading “Google has a crazy idea for injecting a computer into your eyeball” »

Economist Robin Hanson says we’re on the brink of a strange new era. Read an excerpt of “The Age of Em: Work, Love, and Life when Robots Rule the Earth” below.

Eugene Sergeev / Shutterstock.

What will the next great era be like, after the eras of foraging, farming, and industry?

Closing the instability gap.

(Phys.org)—It might be said that the most difficult part of building a quantum computer is not figuring out how to make it compute, but rather finding a way to deal with all of the errors that it inevitably makes. Errors arise because of the constant interaction between the qubits and their environment, which can result in photon loss, which in turn causes the qubits to randomly flip to an incorrect state.

In order to flip the qubits back to their correct states, physicists have been developing an assortment of quantum error correction techniques. Most of them work by repeatedly making measurements on the system to detect errors and then correct the errors before they can proliferate. These approaches typically have a very large overhead, where a large portion of the computing power goes to correcting errors.

Continue reading “Autonomous quantum error correction method greatly increases qubit coherence times” »

Kurzweil, me and others have been saying devices will eventually be phased out for a while now. However, I do not believe the phase out will be due to AI. I do believe it will be based on how humans will use and adopt NextGen technology. I believe that AI will only be a supporting technology for humans and will be used in conjunction with AR, BMI, etc.

My real question around the phasing out of devices is will we jump from Smartphone directly to BMI or see a migration of Smartphone to AR Contacts & Glasses then eventually BMI?…

(Bloomberg) — Forget personal computer doldrums and waning smartphone demand. Google thinks computers will one day cease being physical devices.

Continue reading “Google CEO Pichai Sees the End of Computers as Physical Devices” »