Virtual Digital Assistants

A virtual digital assistant (VDA) can come in many forms, from a relatively basic text-based assistant to a full-fledged, multi-modal digital assistant. VDAs are automated digital systems that assist the user in many ways, from enabling self-service through a back-end database of frequently asked questions (FAQs) in a search tool as found on many enterprise […]

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How near is the Singularity?

The Technological Singularity has been defined by many and in various ways, Vince defined it as “within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended. […] I think it’s fair to call this event a singularity” (Vinge, 1993)

The consensus of all the definitions is that at a moment in time, artificial intelligence will have progressed to the point of a greater-than-human intelligence.  The prediction is that when artificial intelligence (AI) exceeds human intelligence that computers will be dominate over humans.  To support this theory is the comparison of humans and apes put forward by Kurzweil.  (Kurzweil, 2005) Apes are physically stronger than humans yet its human’s greater intelligence that has allowed us dominate the earth.  This theory appears to be sound so it’s possible that once artificial intelligence exceeds humans that something similar could happen.  The tipping point when this occurs is referred to as the Singularity.

The use of the word Singularity to define this event is very interesting.  A singularity means a point where some property is infinite.  Singularity has its basis in maths, particularly algebra. A common example used is:

f (x)

We know that dividing by 0 (zero) is undefined (impossible to calculate) but x can be an ever increasing small number that approaches but never reaches 0 thus yielding larger values approaching infinity.  This is defined in maths as a singularity and the theory is that a singularity is not solvable.  Interesting then that we refer to an event we believe will definitely happen as a singularity!

Ray Kurzweil is a Director of Engineering at Google, technologist, futurist, has made many successful predictions about the future of technology predicts that the AI Singularity will occur by 2045.

Ray puts forward a number of convincing arguments in his book “The Singularity is Near” (Kurzweil, 2005) to support this prediction.

It would take a very long article to describe all of Kurzweils arguments, however the basic principle he puts forward is that development growth will be exponential rather than linear.  In fact he argues that not only is the growth of technology exponential but that “the rate of exponential growth (that is, the exponent) is itself growing exponentially” (Kurzweil, 2005) giving a double exponential growth.

Moore’s Law predicts similar exponential growth and irrespective of whether Moore’s Law is accurate or not, growth of computing power from 1965 to 2015 has been exponential.

Kurzweil says that it is this exponential growth in technology that will empower us to match the computational capacity of a human brain.

A counter argument has been put forward by Cirurel et al in their book “The Relativistic Brain” where they outline a number of reasons why the human brain cannot be simulated by a computer. Cirurel is a mathematician and Nicolelis is a neurophysiologist and they have spent a long time studying the brain and how it works.  By combining mathematical, computational, neurobiological and evolutionary arguments, they put forward a theory called the relativistic brain theory (RBT) which states that there are multiple networks of interconnected brain cells.  These generate complex brain functions such as sensing pain, sense of self and consciousness.  They dispute the idea known as computationalism, that the human brain resemble digital computers and can be reproduced or simulated by software running on a large computer.  There is a lot of money been spent on research throughout the world where large teams are working with state of the art computers to simulate animal or humans brains, yet despite this it appears that they are a long way from achieving anything that resembles a brain.  They argue that the reason for this is that there are non-computable and non-tractable problems that even the most sophisticated computers cannot deal with.

The RBT theory is that the brain is comprised of a hybrid digital-analogue computational engine.  The digital component is defined by spikes produced by the neural networks distributed all over the brain while the analog component is represented by superimposition of time-varying, neuronal electromagnetic fields (NENF’s) generated in the multitude of distributed loops of white matter in the human brain.  The relativistic brain theory proposes that “the combination of time-varying NEMF’s produces a neuronal space-time continuum.  This space-time continuum defines what we call the mental space where all higher brain functions emerge” (Cicurel & Nicolelis, 2015)

The variable elements of this are used to explain why we might respond differently to the same touch at different times.

They do agree that there are a number of motor functions in the brain that can be interpreted and simulated and there is ample evidence to prove this.  A good example is someone controlling a prosthetic limb using signals from the brain.

A more complex function is to trick the brain into believing it’s in pain, this can be done with visual stimulus (rubber hand test), but so far no one has been able to do it by sending a signal to the brain.

There is also an evolutionary argument which is that the brain developed as a result of a large number of evolutionary steps, through changes in everything from molecules to the entire organism.  Evolution does not follow any pre-set plan so then how can we expect to reverse engineer something that was never engineered in the first place.  (Cicurel & Nicolelis, 2015)

Kurzweil states that just as it was “the fate of bacteria to evolve into a technology-creating species”, “it’s our destiny now to evolve into the vast intelligence of the Singularity”.  (Kurzweil, 2005)

I propose that these arguments show that due to the complexity and as yet unknown functions of the human brain that the Singularity may a lot further away than some observers would like to admit!


Cicurel, R. & Nicolelis, M., 2015. The Relativistic Brain. Montreux: Kios Press.

Kurzweil, R., 2005. The Singularity is Near. s.l.:Viking Penguin.

Vinge, V., 1993. The Coming Technological Singularity: How to Survive in the Post-Human Era. Westlake, Ohio, NASA Conference Publication.

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Is AI the “Great Filter”?

Back in 1964 soviet astronomer Nikolai Kardashev (no relation to she who breaks the internet) proposed three categories or types for technological development of civilisation. Type one being technological level able to harness power roughly approximate to all of earth today (everything, solar, wind, earthquake, we are about 100-200 years from there according to most estimates […]

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What is AI?

What does Artificial Intelligence mean? When we think of intelligence we tend to think of people like von Neumann, Einstein, Galileo, Archimedes or da Vinci but in the overall scale of intelligence this is a very anthropomorphic perspective. This post is a brief look at what form intelligence, created by man or “artificial intelligence”, is likely […]

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Artificial Intelligence in Medicine

At the moment, most AI research is actually about getting good performance in complicated prediction tasks, with algorithms that have acceptable computational complexity.  That doesn’t sound so scary!! So where exactly is AI at now?  One area where AI research is alive and well is in the medical field.  With medical misdiagnosis and delayed diagnosis […]

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