The computer revolution has changed our lives massively in the last 50 years, and it's not looking like it will stop anytime soon. In the last few years, we've seen everything from self-driving cars to text messages that can read your mind. Luckily, even new technology comes with its advantages! Specifically, artificial intelligence could potentially make our homes much more comfortable and convenient by taking care of little tasks for us. That's right, smart homes!
When we think of smart homes, we usually think of futuristic devices like Amazon Alexa or Google (News - Alert) Home. These are smart speakers that can speak back to us, ask for information whether or not we need it, and even play music for us. That sounds great! But what if you needed your home's lights to turn on automatically when you get back from a trip? Or the temperature to be set just right when you walk in the door? These things aren't as outlandish as they seem at first glance. In fact, artificial intelligence could make them possible.
Artificial intelligence is a computer system that can perform tasks normally done by humans. While it is not a new concept, it has greatly advanced in the last decade or so.
That's why we are no longer seeing computers just do the math and simple data processing. Instead, we are seeing them handle more complex things such as facial recognition or natural language processing. These types of tasks generally require a lot of human intervention (trial and error), to get them right. But not only do these systems get them wrong sometimes (mostly due to human error), they have bad reputations for errors that cause damages!
Luckily, artificial intelligence can be fixed with the help of deep learning algorithms. Deep learning refers to a machine learning algorithm that is built by layers of neural networks, which are essentially computers programmed like human brains. A neural network "learns" from a set of data and outputs an answer in the form of a prediction.
AI-Based Models in Commercial Buildings
Recently, many commercial buildings have been using Artificial Intelligence-based models in order to make intelligent decisions on how they should operate. This article talks about the advantages that AI-based models offer, the reasons these models work so well, and how they are being used in commercial buildings. By understanding more about these intelligent systems that are out there in real life, it will help us better understand our world and what is possible for us to achieve if we apply similar technology.
The main advantages of using AI-based models in commercial buildings are that the models provide better decision-making for large-scale systems and they are very cost-effective compared to earlier systems. First, AI-based models operate using a number of interconnected parts which combine together to provide a higher level of decision making than a single system can achieve. A single system will work better for a smaller scale system, but when the size of the system increases, it becomes important to use an AI-based model. This is because any single system will not be able to relieve the load of all the decisions that need to be made and thus it needs to combine with other systems to make the decision.
Furthermore, AI-based models are cost-effective because they are not just limited to making decisions but they can also help reduce energy usage. One of the most common ways in which AI-based models are used is through feature engineering. With feature engineering, simple decisions that can be made by systems can be simplified and then included in a model. This is done by applying machine learning models to the original data and then noting which features are most influential and can be reduced, thus making the model more efficient. In a bunch of commercial buildings that have invested in AI-based models, energy usage has been reduced by 20%, on average.
Another advantage of using AI-based models is that they are effective in operations that require high predictability. For example, AI models can be used for a process that requires them to make hundreds of decisions per minute. These types of processes often use a lot of resources, and so it is important for the process to run as efficiently as possible. Using an AI-based model can help with this because again, it provides a higher level of decision-making than a single system can achieve.
