Lifeboat Foundation

It’s that time of the year again when techno pundits are once again breathlessly telling us all about the technology and innovation trends that will be big in 2013. That’s great, but many of those predictions will be hopelessly wrong by the end of March. That’s why it’s so fascinating that Ray Kurzweil, one of the leading thinkers when it comes to the future of technology, has had such a strong track record in making predictions about technology for nearly two decades. In fact, of the 147 predictions that Kurzweil has made since the 1990’s, fully 115 of them have turned out to be correct, and another 12 have turned out to be “essentially correct” (off by a year or two), giving his predictions a stunning 86% accuracy rate. So how does he do it?

The fact is, Ray has a system and this system is called the Law of Accelerating Returns. In his new book How to Create a Mind: The Secret of Human Thought Revealed, Kurzweil points out that “every fundamental measure of information technology follows predictable and exponential trajectories.” The most famous of these trajectories, of course, has been the price/performance path of computing power over more than 100 years. Thanks to paradigms such as Moore’s Law, which reduces computing power to a problem of how many transistors you can cram on a chip, anyone can intuitively understand why computers are getting exponentially faster and cheaper over time.

The other famous exponential growth curve in our lifetime is the sheer amount of digital information available on the Internet. Kurzweil typically graphs this as “bits per second transmitted on the Internet.” That means the amount of information on the Internet is doubling approximately every 1.25 years. That’s why “Big Data” is such a buzzword these days — there’s a growing recognition that we’re losing track of all the information we’re putting up on the Internet, from Facebook status updates, to YouTube videos, to funny meme posts on Tumblr. In just a decade, we will have created more content than existed for thousands of years in humanity’s prior experience.

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Things keep getting better and better for Quantum and Brain Interfaces/ implants as well. What you have to love is the fact how Quantum Dots and it’s research helps us both technically and medically as well. When I reported 2 weeks ago about Quantum Q-Dots; what I did not share is how Q-Dots could be leveraged to wipe out many Super Bug Viruses. And, this is why things are really stepping up in AI/ Robotics, Brain Mind Interfaces, micro bots, etc. Definitely on a path to singularity.

Plasmonics enable wavelengths of light to shrink to the nanometer scale.

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True points and many that I have been sharing on Quantum around its own potential to change everything that we know about technology (devices, internet & networking in general, wireless and satellites, AI, advancements in biotech, security, big data, and singularity itself). The author also highlights many of the same concerns that I have shared around hackers on Quantum breaking through the older digitized platforms and networks; therefore, many companies and governments are exposed as well as consumers who have not adopted Quantum.

Although the author speculates we’re less than 10 yrs for Quantum to be seen in the everyday usage; I believe we’re within 7 yrs.

Within four years quantum computers will have the beating of conventional computers and that will produce a dramatic change in both the technology landscape and in business, according to Professor Jeremy O’Brien from Bristol University.

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Interesting & a perplexing viewpoint by this author on “Singularity” and AI in general. First, I believe folks have varying views on the word “Singularity.” This author believes it is when machines become smarter than humans. In my case; I see Singularity is when humans and machines become connected to all things; not necessarily when a machine becomes smarter than myself. Also, the author definitely is not open to exploring all the possibilities around AI; thank goodness all innovators do not have this same mindset.

Human-like robots are popping up everywhere. From the factory floor to product packaging and delivery. From restaurants to the battlefield. From patient care to camel racing. And countless other places. The driverless cars we talked about in this column only a few years ago can be seen on the road today. Our electronic devices are not only talking to us, they’re beginning to understand what we need without even having to ask.

All of this has led to rampant speculation about when the so-called “singularity” is going to happen. When machines become “smarter” than humans. Sorry to disappoint, but the ultimate brain isn’t a future generation of IBM’s Watson or some super-distributed artificial intelligence network like the fictional Skynet portrayed in the Terminator movies.

Continue reading “The coming leap in human intelligence” »

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We’ve just posted a proposed definition of the notion of a technological singularity in our blog. Please comment freely.

Synopsis: Careful expositions of a technological singularity anticipated by the mid-21st century can be uniquely described using three common characteristics: superintelligence, acceleration, and discontinuity.

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Truly beautiful stuff! How far we’ve come from going to a dimly lit, coin op arcade filled with venerable games like PAC-Man and Afterburner! The Singularity accelerates every second, of every minute, of every hour, of every day,. Being alive in this era of progress is truly a gift.

This is “Animation/FX Reel” by blurstudioinc on Vimeo, the home for high quality videos and the people who lovethem.

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Luv the whole beautiful picture of a Big Data Quantum Computing Cloud. And, we’re definitely going to need it for all of our data demands and performance demands when you layer in the future of AI (including robotics), wearables, our ongoing convergence to singularity with nanobots and other BMI technologies. Why we could easily exceed $4.6 bil by 2021.

From gene mapping to space exploration, humanity continues to generate ever-larger sets of data—far more information than people can actually process, manage, or understand.

Machine learning systems can help researchers deal with this ever-growing flood of information. Some of the most powerful of these analytical tools are based on a strange branch of geometry called topology, which deals with properties that stay the same even when something is bent and stretched every which way.

Continue reading “Big Data And Quantum Computers” »

“Should science and society welcome ‘the singularity’ – the idea of the hypothetical moment in time when artificial intelligence surpasses human intelligence?

Panelists: Harry Shum (Microsoft Research EVP of Tech), Max Tegmark (Cosmologist, MIT) Stuart Russell (Prof. of Computer Science, UC Berkeley) and Ray Kurzweil (Futurist, Google Director of Engineering). Moderator: Margaret Boden (Prof. of Cognitive Science, Uni. of Sussex).”

Welcome to a new age of AI Healthcare
Although we’re in the early release/ deployment stages of the AI doctor experience and compound that with a 10 year evolution of technology and health science being intertwined together as one/ Singularity; could we see a day soon when technology and engineering graduates having their own education include medical school? Definitely could be as we move more into a singularity future and as the many of the routine patient services evolve to AI and Robotics.

Granted, companies hire today doctors and nurses, etc. to consult their engineers and techies; however, Singularity and as we evolve to it, will require engineers and techies to have their own level of a in-depth medical background/ knowledge due to it’s complexity. Now, imagine the change and transformation that will be required across our educational system as well in order for us to be prepared for this new future.

London-based digital healthcare startup, Babylon is an artificially intelligent ‘doctor’ that aims to prevent illnesses before they occur. To do this, the program tracks your daily habits, diagnosis illness based on symptoms and integrating data about heart rate, diet and medical records.

Continue reading “London startup ‘Babylon’ thinks its AI doctor could predict your future health” »