Artificial Intelligence (AI) and smart homes are two hot topics in the digital world. Smart homes are causing groundbreaking benefits in home automation. AI is also being used in all kinds of industries to hasten and improve different types of processes. These inventions are changing the areas they operate in. But, will they work together? What are Smart Homes? A smart home consists of the many smart devices owned by someone. These devices use the Internet of Things (IoT) to communicate with each other. Because of IoT, you can track, monitor, and control a smart home product as long as you have an internet connection. According to a study done by safeatlast.co, 76% of all smart home products in America are controlled remotely through smartphones. What is Artificial Intelligence? AI is the technology that lends human characteristics to computers. It is used to help computers process information, anticipate, and react as humans would. A device with AI will learn through the information received. It will also learn through experience. Devices with AI will even show creativity in some cases. Devices equipped with AI can better themselves without outside interference. This technology helps to speed up the processes it’s ordered to…
Artificial intelligence is one of the biggest buzzwords in science right now. It’s hitting the headlines frequently, due to the massive leaps in progress being made. The story which grabbed the most attention was the DeepMind’s AlphaGo AI defeating a three-time European Go champion in emphatic fashion – and then doing the same for the number 1 ranked player in the world. To put this into context: Go is one of the most difficult games in the world, and is significantly harder to master than chess. It has a vast range of decision trees and possible outcomes, making it extremely difficult to predict, meaning players have to think on their feet and strategise as much as possible. This has people excited because if AI utilizing neural networks can master one of the most complicated games on the planet, its application within the world of work could be massive.
Artificial Intelligence is part of a computer science program that deals in making machines behave and perform operations that a human being can commit. People have been trying to make devices behave like humans for a very long time, and today, with the help of advanced computing, people can achieve it. Artificial Intelligence, in short, is termed AI. There are various departments where Artificial Intelligence can be extensively used. Out of all departments, the defense is one area where the artificial department has been widely used. Gaming is another department where artificial intelligence is getting used. Gaming is prevalent among youngsters, and when these machines start responding to human beings’ requests, people get more excited. There is both advantage and disadvantage in Artificial Intelligence. One of the significant benefits is that by using artificial intelligence technology, we can make machines perform human activities, thus minimizing human labor. You can use devices to perform work that human beings found difficult. Nowadays, human beings can sit in their office and control their house computer. Not one researcher can invent an artificial intelligence system, and it takes years to build a proper and advanced artificial intelligence system.
When talking about artificial intelligence(AI), many people think that neural nets should be as intelligent as the human brain. Some people don’t even imagine how widely they are used in their life. Let’s narrow us to something more simple and understandable. The most exciting usage of AI is robotics. Today isn’t tough to build a simple robot with a few sensors and a couple of motors. But the harder part is to make it react to the real-world as you expect it to be. When programming the robot brain, there is checking sensor states and reacting to particular circumstances like hitting the wall, line on the ground, etc. But more sensors robot has more complex reactions may be. Programming of more complex systems may be painful without using simple neural networks.