RANDOM ACTIONS:
Glared
Contained
Ridicule
Starved
Collaborate
Unload
Mopped

RANDOM STARTERS:
overcome
where isn't
deal
would
which would
why should
how to easily

RANDOM TRAITS:
Linguistic
Residential
Inefficient
Cream
Orthodox
Nutritional
Charismatic
Crude

a-sage
agent-based modelling
agi: artificial general intelligence
ai chatbot
ai chatbots
ai deep learning
ai in medicine
ai machine learning
ai self-driving car
al: artificial life
algorithm
algorithms
analytics
applications
artificial general intelligence
artificial intelligence
artificial intelligence (ai)
artificial narrow intelligence
artificial neural network
artificial neural networks
asi: advanced superintelligence
auto encoders
autonomous
autonomous vehicles
bayes theorem
big data
big data     9) virtual assistants (e.g siri , alexa and cortana )
black box algorithm (explain ai)
bot
bots
chatbot
chatbots
cloud computing
cloud computing (cc)
cognitive computing
continuous learning/personalisation
convolutional neural nets (cnns) and denoising autoencoders(das)/stacked auto-encoders(saes)
convolutional neural networks
crowdsourcing
data mining
data science
deep belief nets (dbns)
deep learning
deep learning software
drone delivery
dwa: dialog with an agent
expert systems
facial recognition
gan: generative adversarial network
general problem solver
general purpose
generative adversarial networks (gans)
generative and discriminative models
generative models
genetic algorithm
gradient descent
how does ai work?
image classification
image recognition
impacts of ai and robotics on hr, od and the future of jobs     10. pokemon go, vr, chatbots      you get the point right? this is an art that has many names but remains the same: to condense down
intelligent
intelligent machines
iot (internet of things)
irl: in real life
learning
lstms
machine learning
machine learning (ml)
machine vision
machine-learning
major applications of machine learning
narrow ai
natural language processing
natural language processing (nlp)
natural language understanding
neural networking
neural networks
neural networks (nns)
neural networks (what ai learning method is used with a black box algorithm?)
nll: natural language understanding
nlp
nlp  & multimodal interfaces
non-player character (npc)
optical character recognition (ocr)
order n-gram
pathfinding for ai
perceptron
predictor
processing big data
qualities of ai research
question answering
recurrent neural nets (rnns) and
reinforcement learning
research and development (r&d)
robotic process automation (rpa)
robotic process automation (rpa) and natural language processing (nlp)
robotics
robotics process automation
robustness of algorithms
saas
self-driving cars
self-learning algorithms
self-learning systems
semantics
sentiment analysis
slam: simultaneous localization and mapping
smart robots
speech recognition
speech recognition and synthesis
the top 10 ai companies in the us
these are a few tips that will show you how to write a listicle. the listicle is only one of the new types of article that you can create and share online. have fun creating your own and let us know some of your writing!
virtual assistant
virtual personal assistant
virtual reality
vision recognition
visual search
voice user interface (vui)
watson cognitive computing
wbe: whole brain emulation
well-understood problem
what is ai?
when coupled with chatbots can produce superhuman results. #chatbots
where ai has triumphed and failed
where is ai being used?
wsn: wireless sensor network

1 Step 1
keyboard_arrow_leftPrevious
Nextkeyboard_arrow_right

BASIC QUESTIONS:
Who
What
Why
Where
When
How

JOURNALIST QUESTIONS:
Who did that?
What happened?
Where did it take place?
When did it take place?
Why did that happen?
How did it happen?

FURTHER QUESTIONS:
Whom?
Which?
Whose?
How far? 
How long? 
How much? 
How many?
How come?
Why not?
Why didn't?