Goals of artificial intelligence
- Research background
- Machine learning
- Deep learning
- Neural Network
- Healthcare
- Finance
- Agriculture
- Defense
- Gaming
Research Background
The development of AI is on the rise, with clear applications already in the manufacturing, health care, entertainment industries. A machine that mimics human behavior is called artificial intelligence or AI. The three most common types of AI are machine learning, deep learning, and neural networks. You should be reading about artificial intelligence or research machine learning.Machine Learning
Machine learning is an incredible ability to give computers to learn from what they’ve seen, sensed, or received. When applied to a wide range of industries, it can improve the next generation of video games, diagnose diseases, improve airline pilots, better computer chat systems, and predict the weather and so much.A computer program learns from experience using a set of rules. For instance, to play chess games and identifies objects in an image or sounds in a video clip without fed data for each specific task beforehand. Machine learning algorithms work best to access a large amount of data. It also analyzes the best patterns and trends.
The best part is that machine learning can take care of most of the human research in a wide range of industries.
We could see significant advances in tackling everything from identifying computer hackers to finding important people as government agencies assess vast databases with social media platforms.
It is more important than anything else to learn about a wide range of industries to gain a deeper understanding of how computers think and how AI algorithms work. They also use thousands of examples of before-generated data to become more accurate at their jobs.
Additionally, on its own, machine learning is a remarkable ability to organize large amounts of data and allow the machine to learn from that data faster than an individual human could. Think of it as learning a language with a book of handwritten words same with a dictionary. You can’t do it with a few sentences, nor does anyone else in a room.
Deep Learning
A more advanced form of machine learning uses layered structures called artificial neural networks to capture complex relationships between large sets of data. These are too difficult for other analytics methods to find on their own.
Neural Network
A subset of machine learning, neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are at the core of deep learning algorithms. They are named after and structured like neurons in the brain, mimicking how they communicate together.
Artificial Intelligence helps and assists society in the following sector such as health, Finance, Agriculture, defense, Gaming, and etc.
Goals of AI in Healthcare
The goal of Artificial Intelligence in healthcare is to analyze prevention, treatment techniques, and patient care outcomes. As an example of using AI to assist the patient, it can be used for diagnosis, treatment protocol, drug development, personalized medicine, and chatbot assistance. AI algorithms also use for disease prevention and analyze big data through health records.Goals of AI in Finance
The goal of Artificial intelligence in finance is to transform and advance the way to interact with money. AI is also helping the financial industry streamline processes ranging from credit decisions to predict trading and financial risk management.- Make better, and data-driven decisions
- Increase the profits by targeting
- Right recommendations
- Reduce customer churn by identifying customers early
- System automating (AI can do much faster than a human)
- Fraud prevention.
Goals of AI in Agriculture
The goal of AI in Agriculture is to improve the harvest quality and accuracy using AI-based drones. AI technology also helps to detect diseases in plants, pests, and poor nutrition of farms. Herbicide application determines detecting and targeting weeds with artificial intelligence.Goals of AI in Defense
As you know, the use of IEDs by terrorist groups is growing more sophisticated and widespread globally.The Department of Defense has created Artificial Intelligence to win the AI battle. AI enables autonomous systems to conduct missions, achieving sensors, system automation, making better and quicker decisions than humans.
Artificial intelligence might be able to assist EOD (explosive ordinance defense) workers in reducing threats and protecting technicians from improvised explosive devices.
Goals of AI in Gaming World
Nowadays we play AI-based games and computer games that attract several players worldwide.- AlphaGo is one of the AI-based games that beat the top player. AlphaGo learns from machine learning techniques and uses artificial neural networks by training.
- IBM Watson won in AI-based game jeopardy that got the victory against two world champions Brad Rutter and Ken Jennings.
- DarkForest, a computer chess program based on deep learning that saw in the computer chess program.
- Deep blue is a chess-playing program of computers that win both chess games and matches against world champions.
If you want to learn about artificial intelligence get some highly recommended books here. Click the link below.
1. Artificial Intelligence: The Insights You Need from Harvard Business Review (HBR Insights Series)
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