Artificial Intelligence (AI) is defined:
The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Below is a short video describing AI:
Different Artificial Intelligence Technologies
Here are short definitions of several AI technologies.While no definition can capture every dimension of these technologies, here are the basics:
1. Machine Learning
With machine learning technologies, computers can be taught to analyze data,
recognize hidden patterns, create classifications, and forecast future outcomes.
The “learning” comes from these systems’ capability to improve
their accuracy over time without explicitly programmed instructions.
Machine learning generally requires technical experts who can
prepare data sets, select the suitable algorithms, and interpret the output.
Most AI technologies, including advanced and specialized applications such as
natural language processing and computer vision, are based on machine learning and its more complex progeny, deep learning.
2. Deep Learning
Deep learning is a subcategory of machine learning based on a conceptual model of the human brain called neural networks.
It’s “deep” learning because the neural networks have multiple layers that interconnect:
- an input layer that receives data,
- hidden layers that compute the data, and
- an output layer that delivers the analysis.
The larger the number of hidden layers (each of which processes progressively more complex information), the “deeper” the system.
Deep learning is especially useful for analyzing complex, rich, and
multidimensional data, such as speech, images, and video.
It works best when used to analyze large data sets.
New technologies are making it easier for companies to launch deep learning projects, and adoption is increasing.
3. Natural language processing (NLP)
NLP is the ability to extract or generate meaning and intent from text in a readable, stylistically natural, and
grammatically correct form.
NLP powers the voicebased interface for virtual assistants and chatbots.
The technology is increasingly being used to query data sets as well.
4. Computer vision
Computer vision is the ability to extract meaning and intent from visual elements,
whether characters (in the case of document digitization) or
images such as faces, objects, scenes, and activities.
It is the technology behind facial recognition,
which is now part of consumers’ everyday lives.
For example, iPhone X owners log in to their devices simply by looking at them, and
computer vision technology “drives” driverless cars and animates cashier-less Amazon Go stores.
To download the full report from Deloitte click.