Talking Algorithms
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
3. Artificial Intelligence
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal.[1] 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"
3.1 History of Artificial Intelligence
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3.2 Turing test
Alan M Turing and colleagues working on the Ferranti Mark I Computer in 1951.
3.3 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.
