Transformers to Improve Memory, a Paradigm Shift in AI?

Posted by Peter Rudin on 23. September 2022 in Essay No Comments

Our memory is engaged when we try to distinguish between the mental and the physical world. The brain does not represent information – it constructs it. Transformers use a mechanism called self-attention, to detect textual relationships in a series of words and sentences that depend on each other.

Neuroscience research suggests that transformers can mimic brain functionality. Improving the accuracy of memory with a neural foundational model implemented with an intelligent machine, might indeed signal a paradigm shift in AI.

To overcome the complexity, moving from a machine- to a human-centered AI, the Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI), suggests more multi-disciplinary research.

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Our Brain is not a Computer, Perhaps a Transducer?

Posted by Peter Rudin on 9. September 2022 in Essay No Comments

The computational model, comparing the brain to the computer, has been the most prominent metaphor in neuroscience and AI for decades. It implies that computers are very closely aligned to the functionality of the human brain.

A new theory of how the brain works — the neural transduction theory — might upend everything we know about consciousness and the universe itself. According to this theory our bodies are completely encased by transducers.

The arguments to advance AI-research from a computer to a transducer metaphor are intriguing, especially in respect to causality. Our capacity to adapt will remain the limiting factor unless the quest for survival opens a new chapter in human evolution.

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With Curiosity Towards a New AI: The Issue of Learning

Posted by Peter Rudin on 26. August 2022 in Essay No Comments

Animals and humans exhibit learning abilities and understandings of the world that are far beyond the capabilities of current AI and machine learning (ML) systems.

How is it possible for an adolescent to learn to drive a car in about 20 hours of practice and for children to learn language with what amounts to a small exposure.

For many years now Artificial General Intelligence (AGI) has been the holy grail of AI-research Since years with little or no progress for overcoming problems related to causality. Based on a new approach of self-learning systems, with curiosity and common sense as driver, we might finally achieve an AI that serves humans as opposed to humans serving AI-machines.

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The Metaverse: A US$ 13 Trillion Business or Just Another AI-Hype?

Posted by Peter Rudin on 1. July 2022 in Essay 1 Comment

The Metaverse, proposed by Meta (formerly Facebook), is still under construction – its main building block is AI. Microsoft, as competitor, positions the Metaverse as a ‘digital space inhabited by digital representations of people and things.’

To some critics the Metaverse looks alarmingly like productivity software kitted out with VR glitter. The real threat comes from Zuckerberg’s ‘Suckerverse’.

The lack of experiencing so called ‘embodiment’ defines one of the limits of the Metaverse and its often-overhyped expectations.

It is difficult to predict where the Metaverse will be in five years and if we are indeed witnessing a paradigm shift towards the next industrial revolution.

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Decision-Making, Perception and Illusion: What about AI?

Posted by Peter Rudin on 17. June 2022 in Essay No Comments

Perception is not supposed to be an accurate representation of sensory information. Rather, it is supposed to be an interpretation.

The mental experience of perceiving is filtered by our senses before our biological neurons and its synaptic connections within the brain will react. An illusion is a distortion of the senses and an indicator as to how the mind normally organizes and interprets sensory stimulation.

Higher level decisions require a broad understanding of issues which go beyond the capacity of current AI-technologies. Hence, human judgement and sound assessment of technological progress are likely to remain the key to successful decision-making for a long time to come.

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‘Wetware’: a New Approach to AI-Computing?

Posted by Peter Rudin on 3. June 2022 in Essay 1 Comment

Biological cells generated from stem cells, can be used to provide the computational functionality of real neurons, providing so-called ‘wetware’ of living cells.

Due to limitations of processing power and energy consumption of silicon-based computers, wetware- based cell-computing is likely to bring about a paradigm-shift in machine learning technology.

Supported by Venture Capital, Start-Ups are driving the market with a vision, that within a few years, 10 billion neurons on a chip might be capable of processing our entire knowledge space.

Answering the many related ethical issues is complex. We are confronted with a radically new phenomenon of science which humanity has not been exposed to.

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Does Art Implicate a New Approach to AI?

Posted by Peter Rudin on 20. May 2022 in Essay No Comments

Although there are many more forms of art, literature and music are especially well suited to discuss the application of AI as both can be digitally produced and distributed (Books, CDs, Video-Streaming).

Literature is the art-form of language and words are its tools while Music is the art-form concerned with combining vocal or instrumental sounds.

While AI provides tools, there are limits how far they can support the process of composing art. The fact that mathematics represents an intrinsic part of music and the same holds true for AI as well, demonstrates that integrating the disciplines of natural sciences and the humanities presents a potential path towards a new form of man/machine interaction, with creativity representing human’s most valuable contribution.

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Unlock the AI-Value Contribution with Small Data and Tools

Posted by Peter Rudin on 6. May 2022 in Essay No Comments

 According to a recent press release, Gartner says that 70% of organizations will shift their focus from Big Data to Small and Wide Data, providing more context for analytics and making AI less data hungry.

The more data one has, the more likely the chance that the AI-model does not understand its context or causality. Hence, it comes as no surprise that the scenario of ‘bigger is better’ is coming under scrutiny while ‘small is beautiful’ gains traction.

With every big data set used in large AI-projects, a thousand small data sets may go unused. By adding a tool-strategy, the human factor within the man-machine relationship for solving problems will enhance creativity and innovation as humans have more time to think and reflect how to create value.

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Launching LAC²: AI’s Value to ‘Think Global and Act Local’

Posted by Peter Rudin on 22. April 2022 in Essay No Comments

About two years ago, a couple of AI-enthusiasts got together, starting a discussion how to promote Central Switzerland as an attractive local AI-Hub.

A principal feature of innovative regions is their capacity to create environments favourable to turning knowledge into new products and services, supported by a  collaborative platform where AI-Experiences can be openly discussed.

Management teams are under pressure as their traditional corporate culture gets disrupted by a new form of collaborative and interdisciplinary leadership

Hence, organisations as well as individuals are challenged to constantly ‘reinvent’ themselves, The mission of  LAC² is to support its members on this endeavour. Hence, become engaged and join LAC²!

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Do Nanobots signal the Arrival of Singularity ?

Posted by Peter Rudin on 8. April 2022 in Essay No Comments

John von Neumann is regarded as one of the most intelligent and talented individuals. He defined singularity as the technological creation of super intelligence, arguing that it is difficult or impossible to predict what human beings’ lives would be like in a post-singularity world.

In 2019, a highly profiled group of researchers predicted that advances in neural nanorobotics will create a ‘Superbrain’ that can harness the thinking power of any number of humans and machines in real time through a ‘human-brain-cloud’ interface.

Totalitarian regimes in China and increasingly so in Russia, might well be tempted to misuse the power of nanotechnology as a means of mind-control, both in a military and socio-economic context.

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