I see great potential for the TrueNorth chip as we migrate towards Quantum & Singularity. TrueNorth is an interim chip that assists researchers, engineers, etc. in their efforts to mimic the human brain’s nuero sensors and processing for robotics, BMI technology, etc.
The new IBM supercomputer chip mimics the human brain by using an architecture with 1 million neurons. Nevertheless, its true purpose remains in question for a project with massive public funding.
Nick Walker, an innovation scientist looking to stem cells for an HIV cure, has won the South African edition of the Singularity University Global Impact Competition (GIC), and with it the chance to attend a 10-week course at the prestigious innovation institution.
The scientist currently works at Next Biosciences, Africa’s leading stem cell laboratory and cryogenic biobank, based in Johannesburg, South Africa.
Walker completed his BSc, BSc (Hons, Cum Laude) and PhD at the University of KwaZulu-Natal in Pietermaritzburg. In his PhD work he focussed on the role of the extracellular matrix (ECM) on various aspects of myogenesis.
Three years have passed since the publication of the volume of essays “The Singularity Hypotheses” — a publication that was marked at the time by a London Futurists discussion event. During these three years, public awareness of the concepts of an intelligence explosion has grown sharply — fuelled, in part, by statements from luminaries such as Stephen Hawking and Elon Musk.
In this event, Amnon Eden, lead editor of Singularity Hypotheses, returns to London Futurists to provide an update on the controversies about the Singularity. Topics to be covered will include:
• Luddites, Philistines, and Starry-Eyed: The War over Killer Robots.
• AI (Artificial Intelligence) vs. IA (Intelligence Augmentation)
• “Technological Singularity”: A Definition, Sufficient and Necessary Conditions.
• Perennial Fallacies, Debunked and Re-debunked.
• Learning from the media storm.
Like this article highlights; we will see a day soon when all techies will need some level of bio-science and/ or medical background especially as we move closer to Singularity which is what we have seen predicted by Ray Kurzweil and others. In the coming decade/s we will no longer see tech credentials relying strictly on math/ algorithms, code, etc, Techies will need some deeper knowledge around the natural sciences.
If you are majoring in biology right now, I say to you: that was a good call. The mounting evidence suggests that you placed your bet on the right degree. With emergent genetic recombination technologies improving at breakneck speed alongside a much deepened understanding of biological circuitry in simple, “home grown” metabolic systems, this field is shaping up to be a tinkerer’s paradise.
Many compare this stage of synthetic biology to the early days of microprocessing (the precursor to computers) when Silicon Valley was a place for young entrepreneurs to go if they needed a cheap place to begin their research or tech business. One such tech entrepreneur, the founder of O’Reilly media, Tim O’Reilly — who also coined the term “open source” — made this comparison in an interview with Wired magazine., O’Reilly further commented on synthetic biology saying, “It’s still in the fun stage.”
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.
Very nice goal to have “all things connected” in Toyota’s and Microsoft’s case is “Singularity” lite meaning physical structures are connected; however, bio connection does not exist (only consumer profile information is available and integrated). This could be considered an interim state for Singularity.
The company called Toyota Connected has a goal of simplifying technology so it’s easier to use, perhaps even getting rid of distracting and complicated touch screens that now are in most cars and replacing them with heads-up or voice-activated technology, said Zack Hicks, the company’s CEO who also is Toyota Motor America’s chief information officer. Like other automakers, Toyota Connected will research connecting cars to each other and to homes, as well as telematics features that learn and anticipate a driver’s habits. The company, like other automakers, will explore transmitting a driver’s health data to a doctor or driving patterns to an insurance company so people are insured based on where they travel, Toyota said.
Even if we don’t create a true AI for a thousand years, these algorithms, pared with our exponentially increasing computing power, could have much of the same effect on our civilization as the more traditional, AI-centric type Singularity. Very, very soon.
Replacing inefficient experimentation, UConn researchers have used machine learning to systematically scan millions of theoretical compounds for qualities that would make better materials for solar cells, fibers, and computer chips.
Led by UConn materials scientist Ramamurthy ‘Rampi’ Ramprasad, the researchers set out to determine which polymer atomic configurations make a given polymer a good electrical conductor or insulator, for example.
A polymer is a large molecule made of many repeating building blocks. The most familiar example is plastics. What controls a polymer’s properties is mainly how the atoms in the polymer connect to each other. Polymers can also have diverse electronic properties. For example, they can be very good insulators or good conductors. And what controls all these properties is mainly how the atoms in the polymer connect to each other.
“A common challenge to the ideas presented in this book is that these exponential trends must reach a limit, as exponential trends commonly do.” –Ray Kurzweil, The Singularity Is Near
Much of the future we envision today depends on the exponential progress of information technology, most popularly illustrated by Moore’s Law. Thanks to shrinking processors, computers have gone from plodding, room-sized monoliths to the quick devices in our pockets or on our wrists. Looking back, this accelerating progress is hard to miss—it’s been amazingly consistent for over five decades.
But how long will it continue?
At this rate, we may see Ray Kurzweil’s vision of connected humans to the cloud and full singularity before 30 years.
Duke University scientists have given a pair of monkeys the ability to drive a wheelchair with their thoughts alone. The work is described in a paper recently published in the journal Scientific Reports and adds to a growing body of work in brain-machine interfaces aiming to return some freedom to the severely disabled.
Duke neuroscientist Miguel Nicolelis and his team first began experimenting back in 2012, when they implanted hundreds of microfibers as thin as a human hair in the brains of two rhesus macaque monkeys. The fibers recorded cortical activity associated with “whole-body movement” and sent the signals to a computer.
To start, the monkeys sat in wheelchairs that were moved along various paths toward a bowl of grapes across the room. Their brain activity was read and decoded by a computer program and then associated with wheelchair commands.
This does make it easier for the whole concept of Singularity to exist.
Scientists prove we are tantalisingly close to creating the next generation of computer components made of organic living materials, as we move beyond Moore’s Law and into exotic new devices.
Posted by Chloe Green.
