Artificial Intelligence: Future Technology
Artificial Intelligence is all around us. Artificial Intelligence creates a higher degree of
efficiency and productivity by automating the repetitive task and creating immersive and
responsive experience and understanding human sentiments and even emotions.
Artificial Intelligence (or AI) is "the study and design of intelligent agents" where an
intelligent agent is a system that perceives its environment and takes actions which
maximizes its chances of success. John McCarthy, defines it as
"The science and engineering of making intelligent machines."
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to
new inputs and perform human-like tasks. Most AI examples that you hear about today –
from chess-playing computers to self-driving cars – rely heavily on deep learning and natural
language processing these technologies, computers can be trained to accomplish specific
tasks by processing large amounts of data and recognizing patterns in the data.
How does AI works?
AI works by combining large amounts of data with fast, iterative processing and intelligent
algorithms, allowing the software to learn automatically from patterns or features in the data.
AI has following major subfields:
Machine learning automates analytical model building. It uses methods from neural
networks, statistics, operations research and physics to find hidden insights in data.
Deep learning uses huge neural networks with many layers of processing units, taking
advantage of advances in computing power and improved training techniques to learn
complex patterns in large amounts of data.
Natural language processing (NLP) is the ability of computers to analyze, understand
and generate human language, including speech. The next stage of NLP is natural
language interaction, which allows humans to communicate with computers using
normal, everyday language to perform tasks.
How Artificial Intelligence Is Being Used?
Every industry has a high demand for AI capabilities – especially question answering
systems that can be used for legal assistance, patent searches, risk notification and
medical research. Other uses of AI include:
Health Care
AI applications can provide personalized medicine and X-ray readings. Personal health
care assistants can act as life coaches, reminding you to take your pills, exercise or eat
healthier.
Retail
AI provides virtual shopping capabilities that offer personalized recommendations and
discuss purchase options with the consumer. Stock management and site layout
technologies will also be improved with AI.
Manufacturing
AI can analyze factory IoT data as it streams from connected equipment to forecast
expected load and demand using recurrent networks, a specific type of deep learning
network used with sequence data.
Sports
AI is used to capture images of game play and provide coaches with reports on how to
better organize the game, including optimizing field positions and strategy.