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Cluster: Artificial intelligence

Cluster: Artificial intelligence

A cluster of topics related to artificial intelligence.

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Edits on 24 May, 2021
Kristen Hajduk
Kristen Hajduk edited on 24 May, 2021
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The following are companies using AI to develop products or producing AI software for various applications. AI programs designed for a specific applicationsapplication are also listed.

Edits on 8 Apr, 2021
Kristen Hajduk
Kristen Hajduk edited on 8 Apr, 2021
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Edits on 5 Apr, 2021
Kristen Hajduk
Kristen Hajduk edited on 5 Apr, 2021
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Further reading

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Author
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Type
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2021 Final Report | NSCAI

National Security Commission on Artificial Intelligence

Web

2021

Edits on 30 Nov, 2020
Jude Gomila
Jude Gomila edited on 30 Nov, 2020
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Jude Gomila
Jude Gomila edited on 30 Nov, 2020
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Edits on 2 Oct, 2020
NICK LARUSSO
NICK LARUSSO edited on 2 Oct, 2020
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A decision tree is a simple representation for classifying samples. Decision tree algorithms are used in supervised machine learning where data is continuously split according to a parameter.

A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space. Decision trees are represented as hierarchical models of "decisions" over the feature space, making them powerful models that are also easily interpretable.

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Unsupervised learning is a branch of machine learning that tries to makefocused senseon ofstructuring data that has not been labeled, classified, or categorized by extracting features and patterns on its own. The following are methods used in unsupervised machine learning.

NICK LARUSSO
NICK LARUSSO edited on 2 Oct, 2020
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Machine learning is a technique for realizing AI and it is an application of AI where machines are given access to data from which they learn formfor themselves.

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Reinforcement learning is an area of machine learning focusing on how machines and softwaredeveloping agents reactthat incan alearn specificfrom contexttheir toenvironment maximizeover performancetime by taking actions and achieve reward known as reinforcementreceiving signalrewards. The following are algorithms, tools and research topics related to reinforcement learning.

Edits on 4 Sep, 2020
Dawson Sewell
Dawson Sewell edited on 4 Sep, 2020
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Sales/Marketing/Retail/Customer service
Trademark Analysis
Real-estate
Social Media/Human Interaction/Recruitment
Personal assistant
Selfie Apps
Data science
Robotics
AI software and API development
Other AI companies
Investment

Dawson Sewell
Dawson Sewell approved a suggestion from Golden's AI on 4 Sep, 2020
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Reinforcement learningReinforcement learning is an area of machine learning focusing on how machines and software agents react in a specific context to maximize performance and achieve reward known as reinforcement signal. The following are algorithms, tools and research topics related to reinforcement learning.

Dawson Sewell
Dawson Sewell edited on 4 Sep, 2020
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Edits on 3 Sep, 2020
Erin Scherfner
Erin Scherfner approved a suggestion from Golden's AI on 3 Sep, 2020
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Natural language processingNatural language processing is a branch of AI that helps computers understand, interpret and manipulate human language. The following are tools and topics related to NLP. NLP companies developing or selling NLP applications are found in the AI applications and companies section under Natural language processing.

Erin Scherfner
Erin Scherfner approved a suggestion from Golden's AI on 3 Sep, 2020
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Supervised learning is a type of machine learning in which data is fully labelled and algorithms learn to approximate a mapping function well enough that they can accurately predict output variables given new input data. This section contains supervised learning techniques. For example, Gradient DescentGradient Descent is a technique to optimize neural networks in supervised machine learning. Gradient descent optimization algorithms are used to speed up the learning process of deep neural networks. Another example, Support Vector Machine (SVM), is a type of algorithm that is a discriminative classifier formally defined by a separating hyperplane used for regression and classification tasks.

Dawson Sewell
Dawson Sewell edited on 3 Sep, 2020
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AI applications and companies
Artificial intelligence companies
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Dawson Sewell
Dawson Sewell edited on 3 Sep, 2020
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Types of AIartificial intelligence
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Main classifications
  • Weak or narrow AI or artificial narrow intelligence
  • Strong or general AI (AGI)
  • Artificial superintelligence (ASI)
  • Reactive machines: These do not have past memory and cannot use past information for future actions
  • Limited memory machines: These can use past experiences to inform future decisions
  • Theory of Mind: In humans it is the ability to infer other people’s thoughts, desires and beliefs in others and to understand that they may be different from your own. Theory of mind level AI would be able to interact socially with people
  • Self-aware AI (hypothetical, not realized)
Other classifications
  • Cognitive computing: A term favored by IBM for computing designed to augment human intelligence rather than replace it such as helping doctors diagnose disease, guiding financial managers in making recommendations and allowing lawyers to search caselaw more quickly.
Branches of AI

Dawson Sewell
Dawson Sewell edited on 3 Sep, 2020
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Dawson Sewell
Dawson Sewell edited on 3 Sep, 2020
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Dawson Sewell
Dawson Sewell edited on 3 Sep, 2020
Dawson Sewell
Dawson Sewell edited on 3 Sep, 2020
Dawson Sewell
Dawson Sewell edited on 3 Sep, 2020
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Tools, algorithms, libraries and interfaces for machine learning.

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Edits on 24 Jun, 2020
Graham Garner"A podcast hosted by Lex Fridman, a researcher, and educator in AI."
Graham Garner edited on 24 Jun, 2020
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Documentaries, videos and podcasts

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Date
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Artificial Intelligence Podcast | AI Podcast | Lex Fridman

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