PubNub

PubNub

Types of Data Discovery

• CDR
• Emails
• ERP
• Social Media
• Web Logs
• Server Logs
• System Logs
• HTML Pages
• Sales
• Photos
• Videos
• Audios
• Tabulated
• CRM
• Transactions
• XDR
• Sensor Data
• Call Center
• Knowledge Bases
• Google Search
• Google Trends
• News
• Sanctions Data
• Profile Data

Himalayan Backpacker's Heaven

• Hunza Valley
• Kaghan Valley
• Neelum Valley
• Swat Valley
• Chitral Valley
• Gilgit Valley
• Kalash Valley
• Naltar Valley
• Gupis Valley
• Golaghmuli Valley

Wake Word Voice

Yet Another Wake Word Engine

Wake Up Word Speech Recognition
Choosing A Wake Word
Using Wake-Up Word To Filter Out Background Speech
PocketSphinx
Porcupine
Mycroft-Precise
Help Us Improve Precise
Snips.Ai
Federated Learning for Wake Word
Customize Your Voice Assistant With Personal Wake-Word
Alexa Wake-Word Techniques
Visual Wake-Word Dataset
Rhasspy
Snowboy
Revisiting Wake-Word Accuracy and Privacy - Sensory
ExpressIf
How to do Real-Time Trigger Word Detection
On Convolutional LSTM for Joint Wake-Word Detection
Matrix Wake Word Sphinx
GassistPi
Direct Modelling of Raw Audio for Wake-Word Detection
Without Wake-Word
Amazon Alexa
Offline Voice Recognition
Sequence Models for Trigger Words
Arxiv Wake Word
Donut CTC Query-By-Example - Keyword Spotting
How To Easily Command Your App With Hotword Detection
Hotword Cleaner
Challenges To Open Voice Interfaces
DSP Illustrated
Houndify Wake Word
Wake Word Benchmark
Alexa Dataset Wake Word
Detecting Wake Words In Speech
Alexa Wake Words
Custom Alexa Wake Word Generation Dataset
Trigger Word Detection

Common Voice

Common Voice

Quantum AI for Psychic Abilities

The 3 T's already are an active research area under teleportation, telepathy, and telekinesis. However, following psychic abilities could also come into the mix in AI:

• Thoughtography - imprinting images in one's mind onto physical surfaces
• Scrying - able to look into mediums to view and detect suitable information
• Second Sight - able to see future and past events or perceive information (precognition)
• Retrocognition - supernaturally perceive past events (postcognition)
• Remote Viewing - able to see distant or unseen target with extrasensory perception
• Pyrokinesis - able to manipulate fire through mind
• Psychometry - able to get information about a person or object by touch
• Psychic Surgery - able to remove disease or disorder within or over the body with energetic incision to heal the body
• Prophecy - able to predict the future
• Precognition - able to perceive future events
• Mediumship - able to communicate with the spirit world
• Levitation - able to float or fly by psychic means
• Energy Medicine - able to heal one's own empathic etheric, astral, mental, or spiritual energy
• Energy Manipulation - able to manipulate non-physical/physical energy with mind
• Dowsing - able to locate water, gravesites, metals, and materials without scientific apparatus
• Divination - able to gain insight into a situation
• Conjuration - able to materialize physical objects from thin air
• Clairvoyance - able to perceive people, objects, locations, or events through extrasensory perception
• Clairsentience - able to perceive messages from emotions and feelings
• Clairolfactance - able to perceive knowledge through smell
• Clairgustance - able to perceive taste without physical contact
• Claircognizance - able to perceive knowledge through intrinsic knowledge
• Clairaudience - able to perceive knowledge through paranormal auditory means
• Chronokinesis - able to alter perception of time causing sense of time to slow down or speed up
• Biokinesis - able to change or control the DNA
• Automatic Writing - able to draw or write without conscious intent
• Aura Reading - able to perceive energy fields around people, places, and objects
• Astral Projection - out-of-body experience or the voluntary projection of consciousness
• Apportation - able to materialize, disappear, or teleport objects

Drawbacks of Reinforcement Learning

• Reproducibility
• Resource Efficiency
• Susceptibility to Attacks
• Explainability/Accountability

Types of Filtering for Recommendations

• Adaptive
• Contextual (Context Similarity)
• Cognitive (Personality/Behavior)
• Content
• Bayesian
• Relevance Feedback
• Evolutionary Computation
• Deep Learning
• Collaborative (Model vs Memory)
• Matrix Factorization
• Tensor Factorization
• Clustering
• SVD
• Deep Learning
• PCA
• Pearson
• Bayesian
• Markov Decision Processes
• Interest/Intent
• Intent 
• Search
• Interest 
• Content Consumption
• Impact/Influence
• Social Feedback  
• Likes
• Dislikes
• Mentions
• Shares
• Subscribes
• Hashtags
• Emojis
• Reviews
• Comments
• Trends
• Endorsements
• Opinions from Person of Influence
• Associative Connections (Primary/Secondary)
• Six-Degrees of Separation
• Item-based
• User-based
• Personalization
• Reinforcement Learning 
• Reward
• Optimization
• Exploration/Exploitation
• Competitive
• Cooperative
• Semantic (with a Knowledge Graph)
• Demographic

Deep Learning Approaches for Recommendations:

• Autoencoders
• Neural Autoregressive Distribution Estimate
• Convolutional Neural Networks
• Recurrent Neural Network
• Long Short Term Memory
• Restricted Boltzmann Machine
• Adversarial Network
• Attentional Model
• Multilayer Perceptron