Everyone wants to learn artificial intelligence. Artificial intelligence describes machines that mimic functions associated with the human mind. This A-Z guide of artificial intelligence will offer bite-sized explainers to help anyone understand artificial intelligence.
Artificial intelligence has demonstrated several optimistic waves in the world since 1956. Artificial intelligence has tried and discarded many approaches in its lifetime, including brain simulating, modelling human problem solving, formal logic, and imitating human behaviour.
Mathematical, statistical machine learning has dominated the world since the first decades of the 21st century. Statistical machine learning has been highly successful in solving several problems ranging from industry to academia.
Let us dive into the A-Z of artificial intelligence.
A for Artificial Intelligence
Artificial intelligence is computer programming capable of learning and adapting. Artificial Intelligence is a machine simulated by human intelligence processes. Artificially intelligent machines demonstrate intelligence as opposed to the natural intelligence displayed by humans or animals.
B for Bias
Any incomplete data leads to bias in artificial intelligence. An AI bias is an anomaly in the output of the algorithms due to prejudiced assumptions made during the algorithm development process.
C for Climate
Artificial intelligence is capable of tackling global climate challenges. AI can help fight climate change by designing energy-efficient buildings, improving power storage, and optimizing renewable energy deployment.
D for Datasets
Datasets are information that teaches artificial intelligence to the world. A dataset refers to the collection of data to store data.
E for Ethics
Ethics refer to the guidelines that govern the built and the use of artificial intelligence. Ethics refer to the set of rules or principles that govern the moral conduct in the development and development of AI.
F for Fakes
Artificial intelligence is being extensively used to make fake images, audio, and video. AI studies authentic world images and audio and maps them in detail, and AI then further manipulates them to create true to life fiction work.
G for GANs
GANs refer to two AI systems competing with each other. GANs are extensively used to create images, videos, and voices.
H for Human in the Loop
Human in the loop refers to the human being guiding an AI system. The human in the loop approach involves people in a virtual circle to train, test, and tune a particular algorithm.
I for Image Recognition
Image recognition dictates how artificial intelligence systems look at the world around them. Image recognition allows the machines to interpret what they see in a particular image or video.
J for Journalism
Artificial intelligence is of great significance in journalism. Journalists extensively use AI is transforming the news industry. News organizations may use AI to detect, extract and verify data. One may also use AI to publish data with sorting, selection, and prioritizing data.
K for Knowledge
Artificially intelligent machines are ingenious, and AI systems build and access knowledge differently from humans.
L for Learning
There are several learning techniques to teach or learn artificial intelligence, and AI learning needs creativity, experimentation, and tenacity.
M for Machine Learning
Machine learning is how AI learns for itself through data and experience, and machine learning is a subset of AI that trains a machine to learn.
N for Neural Networks
Neural networks are AI systems that take inspiration from the human brain. Neural systems are computing designs inspired by biological neural networks.
O for Open Source
Open sources are codes and data-free access for everyone, and open source is freely available for possible modification and redistribution. But it does not mean that everyone can access the source code.
P for Predictions
AI is a prediction-based system. The AI outputs are general predictions of how likely something will occur and AI hosts models to get predictions from them in the cloud.
Q for Quantum Computing
Quantum computing is a new generation that processes information in a completely new way. Quantum computing boosts AI with computation, making it able to tackle more complex problems in the fields of business and science.
R for Robotics
Robotics is the study of machines capable of task automation. AI combined with robotic may automate tasks inside and outside of the factory settings.
S for Speech Recognition
Speech recognition is an advanced technology that helps AI capable of understanding human speech. Speech recognition by AI adds convenience to its users, and AI technology has the power to convert voice messages to text.
T for Turing Test
Turing test is a famous test that posts the question ‘Can Machines Think’. Turing test tests a machine’s ability to exhibit intelligent behaviour equivalent to or different from that of a human being.
U for Uses
The world today uses AI in several ways. AI is helpful in online shopping, web search, machine translations, cyber security and many other tasks.
V for Virtual Assistants
Virtual assistants are AI-powered assistants that carry out tasks for people and facilitate their work. Virtual assistants, also called AI assistants, are application programs that understand natural language voice commands.
W for Watson
Watson was the first AI system to beat a human contestant on a TV game show. Watson is a question-answering types computer system that is capable of answering questions given in natural language.
X for X-Ray
AI is a powerful system capable of helping doctors to analyze x-rays and speed up the diagnosis process. AI-based imaging systems have thousands of existing scans to identify the anomalies. Artificial intelligence enables doctors to make better and faster reviews.
Y for You
Artificial intelligence is an intelligent system that needs to understand you to understand the world.
Z for Zeroes and Ones
Zeroes and ones are fundamental building blocks of computing, and they are the foundational language of a computer system. Zeroes and ones are strung together into sequences to transmit information such as music, film, image, and many more.
The field of AI is a fascinating and fast-moving field. One can learn artificial intelligence by studying natural language processing, predictive analysis, and image processing.
