Talking Algorithms

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Talking Algorithms

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Research document

1. The human brain

  

Your brain is made up of billions of brain cells called neurons, which use electricity to communicate with each other. The combination of millions of neurons sending signals at once produces an enormous amount of electrical activity in the brain, which can be detected using sensitive medical equipment (such as an EEG), measuring electricity levels over areas of the scalp.

1.1 Brain Structures

  

Frontal Lobe- associated with reasoning, planning, parts of speech, movement, emotions, and problem solving

Parietal Lobe- associated with movement, orientation, recognition, perception of stimuli

Occipital Lobe- associated with visual processing

Temporal Lobe- associated with perception and recognition of auditory stimuli, memory, and speech

1.2 Brain landscape

Microscopic images of the brain

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    1. Microscopic image of a neuron thumbnail, respect user preferences for image width, but without border and no right float

    2. Microscopic blood vessels that carry nutrients to neurons in the brain.

    3. No other then thumbnail, respect user preferences for image width, but without border and no right

1.3 Brain Communication

  

The cutting-edge science of changing your mind.

This image displays the beautiful phenomena where the brain makes new connections. The brain does this when it gathers new information and/or forms new relationships between data. I find this extremely fascinating, I was amazed and truly moved when I saw these neurons connecting, experiencing it as poetry.

    

     

  

The Glass Brain

This is an anatomically-realistic 3D brain visualization depicting real-time source-localized activity (power and “effective” connectivity) from EEG (electroencephalographic) signals. Each color represents inferred source power and connectivity in a different frequency band (theta, alpha, beta, gamma) and the golden lines are white matter anatomical fiber tracts. Estimated information transfer between brain regions is visualized as pulses of light flowing along the fiber tracts connecting the regions.

Video the Glass Brain [1]

  

1.4 Brain Decoding

[https://www.youtube.com/watch?v=nsjDnYxJ0bo]

2. The Computer (and the brain)

     

2.1 Brain decoding

2.2 The computer and the brain

3. Artificial Intelligence

  

Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. For example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence", having become a routine technology. Capabilities currently classified as AI include successfully understanding human speech, competing at a high level in strategic game systems (such as Chess and Go), self-driving cars, and interpreting complex data.

3.1 History of Artificial Intelligence

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3.2 Movie References

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3.3 Turing test

  

   Alan M Turing and colleagues working on the Ferranti Mark I Computer in 1951.

The Turing test is a test, developed by Alan Turing in 1950, of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine that is designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation is a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel such as a computer keyboard and screen so that the result would not be dependent on the machine's ability to render words as speech.[2] If the evaluator cannot reliably tell the machine from the human (Turing originally suggested that the machine would convince a human 70% of the time after five minutes of conversation[3]), the machine is said to have passed the test.

3.4 Machine learning

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms overcome following strictly static program instructions by making data driven predictions or decisions through building a model from sample inputs.

        

Tay

Microsoft chatbot Tay was an artificial intelligence chatterbot released by Microsoft Corporation on March 23, 2016. Tay caused controversy on Twitter by releasing inflammatory tweets and it was taken offline around 16 hours after its launch. Tay was designed to mimic the language patterns of a 19-year-old American girl, and to learn from interacting with human users of Twitter. Tay however started posting anti-semetic and racist tweets. Artificial intelligence researcher Roman Yampolskiy commented that Tay's misbehaviour was understandable, because it was mimicking the deliberately offensive behavior of other Twitter users, and Microsoft had not given the bot an understanding of inappropriate behaviour.

3.5 Chatbots

Eviebot v.s sexchatbot

4.Talking Algorithms

5. Reflection