Future and Present of AI

“Artificial Intelligence is the new electricity.” – Andrew Ng.

Artificial Intelligence came into existence long ago, but AI demands are steadily growing because of the state-of-the-art technological trends. AI holds a comprehensive history that is changing continuously. AI has the endowment to approach various hurdles and envisage results, but to catch the benefits of the opportunity demands a perception of the present and the future.

Al makes machines more intelligent and empowers them to accomplish intricate functions such as learning and understanding situations, understanding intricacies, outlining tactics about defying problems, and finally commanding other machines. Over the past years, the integration of Artificial Intelligence has expanded remarkably, which has headed towards a more revolutionary and more dependable Al technology and a broader spectrum of applications. In the subsequent sections, we travel to the present and, most significantly, the future of Artificial Intelligence.

The Present of Artificial Intelligence

Even though AI comes a long ago, a broad spectrum of persuasive technologies is surface under it. Deep Learning, Robotics, Facial Recognition, Reinforcement Learning are quite a few you can count. With reckoning a past, we can sum up some top AI technologies that are currently controlling the industry

Natural Language Processing

The use and need of text analytics are evolving with the growing models of technologies nowadays. NLP is a wing of computer science and AI that operates on the ability of a machine to study the human language, i.e., to read the sentence formation, its meaning, emotion, and the purpose behind it. The goal behind NLP is to build a system that can understand the text and perform the tasks automatically, such as translation, spell check, or topic classification. Apparently, the most widespread models of NLP in business are virtual assistants, like Siri, Google Assist, and Alexa. NLP interprets spoken and written text like “Hey Siri, where is the nearest Walmart?” and converts it into numbers to easily understand by machines.

Robotic Process Automation

Robotics has given birth to a booming AI across the earth. RPA is immovably displacing interactions between humans and software. With RPA software, various functions of query solving, transactions, complex calculations, logging in, logging out, etc., can be implemented that decrease the possibility of errors at a more accelerated rate.

Neural Networks

Artificial Neural Network (ANN) programming is stimulated by how the human brain manages to do actions and works with its vast interconnecting neurons. ANN grows beneath Deep Learning technology along with Machine Learning (ML) as its parent operation. And as today we are discovering how to mimic the brain, we are growing closer and closer to the insight of “how the human brain operates”.

Machine Learning & its Platforms

As we’re already discussing Deep Learning below Machine Learning, let us sink deeper into its progenitor domain. At its nucleus, Machine Learning is solely a means of obtaining Artificial Intelligence. It’s the power of machines to master without being coded explicitly. An application of AI, Machine Learning, has supplied us with dynamic web search, self-driving cars, meticulous image processing. Some most commonly accepted Machine Learning platforms are Apache Spark ML, Microsoft Azure, IBM’s SPSS (Statistical Package for Social Sciences), and Scikit Learn.

Internet of Things

As everyone is already knowledgeable, the Internet of Things (IoT) is a worldwide network of computers, actuators, and sensors united through Internet protocols. The most common example is when a device (attached to a sensor) gets communicated by the computer over the internet. IoT and AI are interweaving concepts. If the Brain is AI, then the Body is IoT with sensors. IoT makes AI superior at getting in raw data in real-time.

Artificial Intelligence Future Outlook

At a future time, AI will develop in a process that will allow the latest disruptive industry models and functionalities that will also be instrumental in enhancing the quality of life by allowing humans to accomplish tasks more efficiently and in less time. In this way, developing deep learning technology is supposed to perform a crucial role in conveniently examining mare data while at the same time identifying complicated patterns beyond what machine learning can currently afford. Finally, it may be concluded that we should assume the subsequent trends in the deployment of Al:

Embedded Aly

Al will frequently be installed in devices in various settings, involving consumer devices, cars, search engines, and so on. We can suppose that most future tools include the Internet of Things to employ AI abilities.

Al devices becoming more effective than spirits

In the contexts where complete information procedure is needed more than creativity, AI devices will be much more effective than an individual. Similarly, people would prefer to take service from devices rather than humans because of their capability and no mistake performance.

Enhanced perception in daily life actions

Individually supported robots will grow and begin helping people achieve more and more tasks and assisting people with tasks like food preparation, medical treatment, and supporting laborious tasks.

Self-driving vehicles and safer transport

The approach of AI-capable self-driving cars will significantly reduce the number of accidents, save millions of lives and result in substantial financial savings. 

Augmenting human capabilities

Al machines and robots will in the future proffer us extraordinary capabilities by increasing our present abilities in terms of more accelerated processing of data along with doing manual tasks which are not possible these days.

Some of our best friends will be robots

In addition to being valuable assistants, robots of the future are likely to be our companions. To this end, the robots of the future may even know human behaviour while sensing our emotions. As represented in the film, HER’s relationship may not seem appealing today but will give AI a fundamentally new human-centred dimension.


And though it is not possible to perfectly prophesy the future of technology and where it is going. We have enough evidence that changing the world for beer will disturb our everyday lives and help us. We should prepare to endure this reappraisal and embrace them all that it has to appear.

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