Cluster: Artificial intelligence

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.

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.

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.

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.

• EverString Technology
• People.ai
• Rubikloud
• Optie
• Sentience
• ipvive
• Zephyr
• Shopco Technologies
• Data&Data

• TrademarkNow
• Patensys

• SiteZeus

• Remesh
• Holonis
• Gridspace
• Clustree

• Viv Labs

• Meitu

• Ople
• Molecula (enabling AI data readiness)

• Rokid
• Vicarious (company)

• Mahd
• TenForce
• Algorithmia

• ARICA
• OpenAI
• Optalysys
• Obie.ai
• IBM
• UtopiaCompression
• Alpha Nodus

• OSI (Oxford Sciences Innovation)
• Lux Capital
• Harvest Exchange

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.

• AnswerIQ

• Observe.ai
• StatMuse
• Entefy
• Textio
• Spoken

• WaveNet
• SKAEL

• Cleverbot
• ChatFuel
• X.ai
• Destin AI
• Concierge (YouThere)
• Sensay
• OJO Labs
• Octane AI
• Youper
• Obie.ai
• Giant Otter Technologies
• Haptik
• AllyO
• Solvvy
• Kasisto
• Tact.ai
• Mya Systems
• Amazon Lex
• Aylien

• Questo AI
• AIAR EdTech AB
• Learning Equality

• CircleBack
• HyperScience
• Axeleo
• Sponge.AI
• DataRobot
• Bellwethr
• Webtunix
• Red Queen XYZ
• SKAI Labs

• Pysc2
• Airsim
• Leela chess (LCZero)
• AlphaGo Zero (Deepmind)
• AlphaZero (Deepmind)
• Master (software)
• DeepStack
• Libratus

• Magenta
• Style2Paints
• Vochlea Music

• Agrosight
• Mavrx
• Agvesto

• Aeva
• Hertzwell

• Tesla (autopilot / driver assistance / selfdriving car)
• Drive.ai
• Michelangelo (Uber)

• Agent IQ
• AppZen
• FutureVault
• Lumen Insurance Technologies
• Zinobe

• ClearSpace Aero
• Shield AI
• Anduril Industries

• Qsee
• NTWIST
• Jungle AI

• Repmonk
• FightCamp
• Altius

• CTRL-labs
• Neuralink

• Tessian
• Casetext
• PatternEx
• Someturva

• Jubiwee
• StatusToday
• Nuddge

• Concierge (YouThere)

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.

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.

• Simpatica
• SF17 Therapeutics
• Clear Gene
• Humane Genomics
• Atomwise

• Auransa
• Betasight
• CareSkore
• Desktop Genetics
• Doc.AI
• Enlitic (Computer vision for radiology)
• FarmaTrust
• Gatehouse Bio
• Genetesis
• GTN Ltd
• Janus Genomics
• Juno Bio
• Juniper Medical Computing
• Kheiron Medical Technologies
• Kiroku
• KroniKare
• LifeMine Therapeutics
• macro-eyes
• Medios Technologies (Computer vision software for retinal images)
• Mighty Health
• Neurobit Technologies (Machine learning and sleep technology)
• Machine Medicine Technologies (Parkinson's disease assessment using computer vision)
• Primer
• Recursion Pharmaceuticals
• BenevolentAI
• Remedy Health
• Tyde
• BlueDot
• GYANT
• K Health
• Steth IO
• Cardiogram
• ContinUse Biometrics
• Binah.ai
• Sickweather
• StethoMe

• Phenoscape

• Enzbond - prediction programs for enzyme development

Computer vision has applications in healthcare, security, manufacturing and transportation.

• ImageNet

• Facets
• iGAN
• StarGan
• Deep-image-prior
• DeepVideoAnalytics
• Pix2pixHD
• Deep Mean-shift prior

• Airraiy
• SeizeFace
• Umbo Computer Vision
• Emotech
• ViSenze
• SenseTime
• Iris Automation
• AImotive
• Latent Logic
• Anduril Industries
• GumGum
• AdMobilize
• Loom.ai
• Shazura
• Castle Global

• 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)

• 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.

• Artificial emotional intelligence: Integrating emotional intelligence with AI is one path towards achieving Theory of Mind AI
• Machine learning
• Deep learning (branch of machine learning)
• Computer vision
• Natural language processing (NLP)

• Computer vision
• Convolutional neural network
• Biometric scanning
• Facial recognition
• Self-driving vehicle/ autonomous vehicle
• OpenCV
• Matlab
• TensorFlow
• AForge.NET/Accord.NET
• SimpleCV
• GPUImage
• Google Cloud Vision API
• Amazon Rekognition

• Natural language processing
• Text-to-speech
• Google Cloud Natural Language API
• Paralleldots
• FriendlyData
• Neural machine translation
• Word2vec
• FastText
• Tacotron
• Tacotron2

• Quantum Computing
• Rigetti Quantum Computing
• Google AI
• D-Wave Systems

• Semantic Computing
• Semantic Software Asia Pacific
• The IEEE Computer Society Technical Committee on Semantic Computing (TCSC)
• Resource Description Framework (RDF)

• Internet of Things
• Mnubo
• Josh.ai
• Sentiance
• C3 IoT

• Artificial Life (ALife)
• Swarm robotics
• Swarm intelligence
• Swarmalator
• Lenia
• Plantoid
• Cellular Automaton
• Conway's Game of Life
• Genetic algorithms
• Quantum artificial life

• K-means
• K-means++
• Hierarchical clustering
• Density clustering
• Spectral clustering

• Super learner

• Factor analysis

• Noise-contrastive estimation

• Classification and regression trees (CART)
• Iterative Dichotomiser 3
• Random forest
• Extra-Trees
• Recursive partitioning
• Bagging

• GloVe
• Principal component analysis (PCA)
• Kernel PCA
• Sparse PCA
• Independent component analysis (ICA)
• Non-negative matrix factorization (NMF)
• Archetypal analysis (AA)
• Non-negative matrix factorization via archetypal analysis
• Singular value decomposition
• Nonlinear dimensionality reduction
• Independent component analysis (ICA)
• Google PageRank algorithm

• Reinforcement learning
• OpenAI Baselines
• Tensorflow Agents
• Unity ML Agents
• Nervana systems coach
• ELF
• Pycolab
• Geek.AI MAgent
• Q-Learning
• SARSA
• Temporal difference (TD)

• Gradient descent
• Stochastic gradient descent (SGD)
• Support Vector Machine (SVM)
• ​Momentum / SGD with momentum
• Nesterov momentum / Nesterov Accelerated Gradient (NAG)
• Rprop
• RMSprop
• Adagrad
• Adadelta
• Adam

Tools, algorithms, libraries and interfaces for machine learning.

• CoreML
• Pyro
• Gluon
• Michelangelo (Uber)
• ONNX
• ParlAI
• Fairseq
• AI-Blocks
• Faiss
• MindMeld
• Synthetic data

• Convolutional neural network
• Recurrent neural network
• Recursive neural network
• Multilayer perceptron
• Hybrid neural network
• Generative adversarial network
• Variational autoencoder
• Highway network
• Image Style Transfer
• Deep belief network (DBN)
• Deep neural network
• Deep residual network
• Dropout
• Exploding gradient problem
• Vanishing gradient problem
• Google Inception
• Long short-term memory network
• Gated recurrent unit
• Paired Opened-Ended Trailblazer (POET)
• Boston Dynamics

• Tensorflow
• Seq2Seq (framework for Tensorflow)
• Caffe/ Caffe2
• Keras
• Lasagne
• Torch
• MXNet
• DL4J
• OpenNN
• PyTorch
• Sonnet
• deeplearn.js
• MIL WebDNN
• Theano
• Apache SINGA
• Dlib
• Microsoft Cognitive Toolkit
• Swift for Tensorflow

• spaCy
• Tensor2Tensor

• Deep Q-Learning : Algorithm in deep reinforcement learning

• Deep voice 1: Trains deep neural networks to learn from large amounts of data and simple features
• Deep voice 2
• Deep voice 3
• Google AutoML

• Phenoscape