Over the past one decade, the world has had quantum technological leaps which have completely revolutionized the way things work. In the past carrying out a simple transaction meant sacrificing endless hours at the bank while activities that used to cost us hours such as house chores can now be carried out at the touch of a button thanks to innovative technologies such as Alexa a form of invention which allows you to interact with devices. We even have virtual currencies such as bitcoins and the blockchain technology which have been a complete game changer.
What changed? Ever since the discovery of neural networks, artificial intelligence has come to be part and parcel of the 21st century and the best thing that has ever happened to humanity. Nevertheless, the topic of artificial neural networks has always been perceived by many as an area of shadowy, murky waters which can only be understood by someone who is tech-savvy. Nevertheless, we seek to make these life-changing technological revolutions easy for you to grasp by breaking them down bit by bit and giving you examples of how they are applicable in your world.
What are neural networks?
The human brain is perceived as one of the most powerful tools in the universe. To a normal person understanding figures such as numbers say 1 to 10 might seem like a walk in the park but to a computer recognizing even a simple number such as 1 requires a software. However ever since the inception of neural networks, this has been made far much easier.
So, what are neural networks? These are computing systems elusively inspired by the human cerebral cortex but on a much smaller scale. To put it in a simple layman language or rather explain it in a language a five-year-old can understand, a neural network is a computing system designed to take after the functioning of the human brain. In other words, this kind of network replicates the operation of the neurons in the brain of man hence the name neural but does so on a much smaller scale because, for instance, a large neural network might have millions of processing nodes while the human brain has billions of these.
Commonly known as artificial neural network, ANN, was first invented by Dr. Frank Rosenblatt and even though this technology has been around for more than a millennium now it began coming to life after the establishment of a deep learning platform which make it easier for AI developers to understand.
To help you understand the essence of this great invention below are some of its top applications in your world
Have you ever wondered how scientists and weather forecasts can predict an oncoming hurricane saving millions of people who reside in the affected areas? Well, this might come as a surprise, but such forecasts are made possible by ANN. Neural networks partake in real-time processing of radar and satellite images which enables scientists to detect imminent hurricanes, cyclones, tsunamis, and earthquakes by analyzing the real-time images created by ANN.
Whenever you need to find out how a certain English word is said in a foreign language, you first stop is always on google or other sites like Baidu. To you typing the word and getting it translated to another language and even getting a voice note of how it’s pronounced is incredibly simple and lifesaving, but have you ever taken the time to know how that happens? Chances are you haven’t. Well, such translations are made possible by artificial neural networks.
– Text to speech conversations
– In finance to predict currency exchange rates
– Near human level image classification and handwriting transcription.
Artificial neural networks have completely changed the way the world functions. It’s applied in a wide range of fields from chemistry labs to the automotive world where we now see near human level self-directed driving. The fact that you can now search for a pair of shoe, that perfect suit or even a mouthwatering delicacy using an image makes the world a better place and a small global village. All these revolutions are thanks to Artificial neural networks and due to the emergence of platforms which make it possible for AI developers to understand ANN even more like deep learning it is easy to tell that there are even more innovations on the way.