Author: Peter Rudin

The Brain can teach AI a Lesson or Two

Posted by Peter Rudin on 14. May 2021 in News No Comments

The brain is considered an autonomous learning system. It can detect patterns and acquire new knowledge without external guidance. Until recently, this was not the case for AI — any data being fed to machine learning systems needed to be tagged first.

Some presumed that no such mechanism existed in biological neural networks. However, based on a combination of considerations from the current practice of A and computational neuroscience researchers came to a different conclusion.

In a recent scientific publication, the authors show that self-supervision and error backpropagation co-exists in the brain, and with a very specific area of the brain involved: the hippocampus.

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Corporate Culture and AI: Are you Ready?

Posted by Peter Rudin on 7. May 2021 in Essay No Comments

While Digital-Transformation is setting the stage for moving on to AI-Transformation it appears that many corporations are struggling in realizing its potential benefits. 

To master the increasing complexity produced by advances in AI-research and its impact on  AI-Transformation demands a corporate culture that supports these changes at all levels.

Collaboration is the key in mastering the raising complexity of science and technology. Most importantly collaboration is a prerequisite for collective intelligence, the Nr.1 success factor in mastering corporate complexity and likely the future benchmark for ‘survival-of-the-fittest’.

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Latest Survey: Only 6% of Companies have Adopted AI

Posted by Peter Rudin on 30. April 2021 in News No Comments

In a new survey Juniper Networks found that 95% of respondents believe their organization would benefit from embedding AI into their daily operations. However, only 6% of those reported adoption of AI-powered solutions across their business.

It  is Jupiter’s second recent report to peg data issues as the reason organizations fail to successfully deploy AI. Inherent biases in the data being used create compliance risks for their organizations.

73%  of Juniper survey respondents said that their organizations were struggling with expanding their workforce to integrate with AI-systems. Executives reported that they feel it is more of a priority to hire people than to develop their own AI-Talents.

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The Need to Redefine Intelligence: From IQ to EQ to AIQ

Posted by Peter Rudin on 23. April 2021 in Essay 2 Comments

While the EQ has gained in importance with intelligent machines gradually replacing cognitive tasks, a new ‘AIQ’ will provide guidance to optimally “cross the bridge” between artificial and human intelligence.

With this bridge in place, we can test and compare our true thinking capacity with artificially computed results. Doing so, we must understand the limits and advantages of the artificial version as much as we need to understand the limits of our own personality.

Hence, in addition to IQ und EQ, a newly defined AIQ is required for testing one’s creativity and ability for assessing the solution proposed by the AI system. Introducing the AIQ requires an adjustment of our educational concepts with creativity as its main driver.

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Issues and Risks to Society with large Language Models

Posted by Peter Rudin on 16. April 2021 in News No Comments

Researchers at Google’s DeepMind have discovered major flaws in the output of large language models like GPT-3 and warn these could have serious consequences for society, like enabling deception and reinforcing bias.

The DeepMind paper joins a series of works that highlight NLP shortcomings. In late March, nearly 30 businesses and universities from around the world found major issues in an audit of five popular multilingual datasets used for machine translation.

A paper written about that audit found that in a significant fraction of the major dataset portions evaluated, less than 50% of the sentences were of acceptable quality, according to more than 50 volunteers from the NLP community. 

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Impact of Brain-Computer-Interfaces supported by AI

Posted by Peter Rudin on 9. April 2021 in Essay No Comments

Brain-Computer-Interfaces (BCIs) read and interpret brain activity. To handle the massive influx of data, AI is used to detect neural patterns and provide feed-back.

At the 2017 World Government Summit, Elon Musk suggested that humans should merge their biological-intelligence with machine-intelligence to enhance their cognitive and sensory abilities, fighting-off the supremacy of future super intelligent machines.

To prevent misuse, tough legal constraints need to be enforced to regulate the potentially positive as well as the potentially negative implications of neural augmentation. Considering what has become reality from past dystopian visions as suggested by Huxley and Orwell, there are good reasons to be alarmed.

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Researcher Finds a Better Way to Explore the Brain

Posted by Peter Rudin on 2. April 2021 in News No Comments

Using a new class of nanoparticles, Sakhrat Khizroev, a professor of computer engineering at the University of Miami, hopes to unlock the secrets of the brain.

Using a novel class of ultrafine units called magnetoelectric nanoparticles (MENPs), he and his research group are perfecting a method to talk to the brain without wires or implants as applied by Neuralink, Elon Musk’s Neurotechnology company.

Once the MENPs are inside the brain and positioned next to neurons, they can stimulate them with an external magnetic field, which in turn produces an electric field for communication and control without the use of wires. To extract the information in real time, his team plans to use a special helmet with magnetic transducers to send and pick up signals.

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Thinking, Fast and Slow: What about AI?

Posted by Peter Rudin on 26. March 2021 in Essay No Comments

According to Kahneman’s theory, human decisions are supported by two different kinds of mental abilities: a thinking pattern (‘system 1’) providing tools for intuitive and often unconscious decisions and a second pattern (‘system 2’) handling more complex situations.

Viewed by Neuroscience, an emotional response in decision-making triggers the question how the brain can coordinate the fast thinking of Kahneman’s system 1 with the slow thinking of system 2?

A hybrid AI-system, combining ML with Symbolic AI, offers an intriguing possibility to draw a parallel between the mental mindsets represented by Kahneman’s system 1 and system 2. This implies that future AI-system could be based on a hybrid multi-agent architecture where an individual agent focuses on specific skills and problems to be solved.

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This Digital NFT Painting Just Sold for 69 Million USD

Posted by Peter Rudin on 19. March 2021 in News No Comments

A work by digital artist Mike Winkelmann, better known as “Beeple,” has sold for an astonishing $69 million at world-renowned auction house Christie’s.
The work, titled “The First 5000 Days” was, according to Christie’s, the “first purely digital work of art ever offered by a major auction house.”

NFT stands for “non-fungible token,” and it can technically contain anything digital, including drawings, animated GIFs, songs etc. NFTs allow you to buy and sell ownership of unique digital items and keep track of who owns them using the blockchain.

Critics of the rise of NFTs question the trend and see it as a monetizing hype surrounding digital art. As NFTs allow artists to sell unique pieces of art, digital works can also be sold off as authentic even if they are not.

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From Self-Reflection to Spirituality, what about AI?

Posted by Peter Rudin on 12. March 2021 in Essay 1 Comment

Awareness is growing that human self-reflection and spirituality can be a vital resource in solving today’s global problems, challenging the role of AI as the single source of new knowledge.

The links of our spirituality to our intelligence and its conduits to the biological, neural sphere are not yet fully understood, but scientific enquiry oriented to enhance the biological in humans and replicating it in machines is growing exponentially.

Historically, nature, mountains, rivers, trees, the sun, the moon have always been honoured in ancient cultures as a source of enlightenment. Expanding our awareness about nature, with AI as a tool, might well support our endeavour of leading a meaningful life.

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