Tag Archives: creativity

Gustatory technology stimulates on-line get-togethers

It has been known for some time that over or under responsivity to sensory stimulation encountered in everyday life, such as noise, light and smell, can be a cause of anxiety and stress [e.g. Lipowski, 1975].  Most virtual reality systems provide visual and audio stimuli through headsets and tactile stimuli can be provided through haptic devices; however, that leaves two senses under stimulated: smell and taste.  So, researchers have been exploring how to extend virtual reality to include smell and taste in order to give a complete sensory experience and thus reduce the level of stress and anxiety that many people feel when using immersive reality systems.  This had led to digital scent technology that allows smells to be transmitted electronically [e.g. Isokoski et al, 2020].  So, it’s time to update your preferred communication tool to one that allows you to smell that fresh cup of coffee your colleague has just brewed before joining the meeting from their home-office.  Of course, if they have not taken a shower recently then you might want to ‘mute’ the smell function!  These advances in technology have led a spin-out company, Day91, to start work on gustatory technology that modifies the water in your glass to simulate the after-work drink that your team-mate is enjoying during your virtual get-together online.

References:

Lipowski, Z. J. (1975). Sensory and information inputs overload: Behavioural effects. Comprehensive Psychiatry, 16(3), 199–221.

Isokoski, P., Salminen, K., Müller, P., Rantala, J., Nieminen, V., Karjalainen, M., Väliaho, J., Kontunen, A., Savia, M., Leivo, J. and Telembeci, A., (2020). Transferring scents over a communication network. In Proceedings of the 23rd International Conference on Academic Mindtrek (pp. 126-133).

Slow deep thoughts from a planet-sized brain

I overheard a clip on the radio last week in which someone was parodying the quote from Marvin, the Paranoid Android in the Hitchhiker’s Guide to the Galaxy: ‘Here I am with a brain the size of a planet and they ask me to pick up a piece of paper. Call that job satisfaction? I don’t.’  It set me thinking about something that I read a few months ago in Max Tegmark’s book: ‘Life 3.0 – being human in the age of artificial intelligence‘ [see ‘Four requirements for consciousness‘ on January 22nd, 2020].  Tegmark speculates that since consciousness seems to require different parts of a system to communicate with one another and form networks or neuronal assemblies [see ‘Digital hive mind‘ on November 30th, 2016], then the thoughts of large systems will be slower by necessity.  Hence, the process of forming thoughts in a planet-sized brain will take much longer than in a normal-sized human brain.  However, the more complex assemblies that are achievable with a planet-sized brain might imply that the thoughts and experiences would be much more sophisticated, if few and far between.  Tegmark suggests that a cosmic mind with physical dimensions of a billion light-years would only have time for about ten thoughts before dark energy fragmented it into disconnected parts; however, these thoughts and associated experiences would be quite deep.

Sources:

Douglas Adams, The Hitchhiker’s Guide to the Galaxy, Penguin Random House, 2007.

Max Tegmark,  Life 3.0 – being a human in the age of artificial intelligence, Penguin Books, Random House, UK, 2018.

 

Citizens of the world

Last week in Liverpool, we hosted a series of symposia for participants in a dual PhD programme involving the University of Liverpool and National Tsing Hua University, in Taiwan, that has been operating for nearly a decade.  On the first day, we brought together about dozen staff from each university, who had not met before, and asked them to present overviews of their research and explore possible collaborations using as a theme: UN Sustainable Development Goal No.11: Sustainable Cities and Communities.  The expertise of the group included biology, computer science, chemistry, economics, engineering, materials science and physics; so, we had wide-ranging discussions.  On the second and third day, we connected a classroom on each campus using a video conferencing system and the two dozen PhD students in the dual programme presented updates on their research from whichever campus they are currently resident.  Each student has a supervisor in each university and divides their time between the two universities exploiting the expertise and facilities in the two institutions.

The range of topics covered in the student presentations was probably even wider than on the first day; extending from deep neural networks, through nuclear reactor technology, battery design and three-dimensional cell culturing to policy impacts on households.  One student spoke about the beauty of mathematical equations she is working on that describe the propagation of waves in lattice structures; while, another told us about his investigation of the causes of declining fertility rates across the world.  Data from the UN DESA Population Division show that live births per woman in the Americas & Europe have already fallen below the 2.1 required to sustain the population, while it is projected to fall below this level in south-east Asia within the next five years and in the world by 2060.  This made me think that perhaps the Gaia principle, proposed by James Lovelock, is operating and that human population is self-regulating as it interacts with constraints imposed by the Earth though perhaps not in a fashion originally envisaged.

 

When will you be replaced by a computer?

I have written before about extending our minds by using external computing power in our mobile phones [see ‘Science fiction becomes virtual reality‘ on October 12th, 2016; and ‘Thinking out of the skull‘ on March 18th, 2015]; but, how about replacing our brain with a computer?  That’s the potential of artificial intelligence (AI); not literally replacing our brain, but at least taking over jobs that are traditionally believed to require our brain-power.  For instance, in a recent test, an AI lawyer found 95% of the loopholes in a non-disclosure agreement in 22 seconds while a group of human lawyers found only 88% in 90 minutes, according to Philip Delves Broughton in the FT last weekend.

If this sounds scary, then consider for a moment the computing power involved.  Lots of researchers are interested in simulating the brain and it has been estimated that the computing power required is around hundred peta FLOPS (FLoating point Operations Per Second), which conveniently, is equivalent to the world’s most powerful computers.  At the time of writing the world’s most powerful computer was ‘Summit‘ at the US Oak Ridge National Laboratory, which is capable of 200 petaFLOPS.  However, simulating the brain is not the same as reproducing its intelligence; and petaFLOPS are not a good measure of intelligence because while ‘Summit’ can multiply many strings of numbers together per second, it would take you and me many minutes to multiply two strings of numbers together giving us a rating of one hundredth of a FLOP or less.

So, raw computing power does not appear to equate to intelligence, instead intelligence seems to be related to our ability to network our neurons together in massive assemblies that flicker across our brain interacting with other assemblies [see ‘Digital hive mind‘ on November 30th, 2016]. We have about 100 billion neurons compared with the ‘Summit’ computer’s 9,216 CPUs (Central Processing Unit) and 27,648 GPUs (Graphic Processing Units); so, it seems unlikely that it will be able to come close to our ability to be creative or to handle unpredictable situations even accounting for the multiple cores in the CPUs.  In addition, it requires a power input of 13MW or a couple of very large wind turbines, compared to 80W for the base metabolic rate of a human of which the brain accounts for about 20%; so, its operating costs render it an uneconomic substitute for the human brain in activities that require intelligence.  Hence, while computers and robots are taking over many types of jobs, it seems likely that a core group of jobs involving creativity, unpredictability and emotional intelligence will remain for humans for the foreseeable future.

Sources:

Max Tegmark, Life 3.0 – being human in the age of artificial intelligence, Penguin Books, 2018.

Philip Delves Broughton, Doom looms over the valley, FT Weekend, 16 November/17 November 2019.

Engelfriet, Arnoud, Creating an Artificial Intelligence for NDA Evaluation (September 22, 2017). Available at SSRN: https://ssrn.com/abstract=3039353 or http://dx.doi.org/10.2139/ssrn.3039353

See also NDA Lynn at https://www.ndalynn.com/