Top four AI and ML trends for 2022

Machine learning and artificial intelligence are the two biggest technologies that have a great potential of transforming our future. They can help in automating different sectors of various businesses as well as driving innovation and growth. Different types of trends in AI and ML include automated machine learning, human computer design, human computer interaction, multimodal learning, natural language processing, tiny machine learning, Quantum machine learning, ethical artificial intelligence, responsible artificial intelligence as well as democratized artificial intelligence. It is not only these trends that will gain traction in the coming times but also the language associated with machine learning. To put it briefly, machine learning with Python course will gain utmost importance in the future. Let us briefly discuss the above mentioned trends.

Automated machine learning

Automated machine learning will be employed by a large number of industries. The most important problem that business organizations and other technical industries face is related to the operational aspects of machine learning as well as deep learning. The first important requirement of developing a know-how with machine learning is to tune artificial neural networks with labeled data. This is usually done by professionals like machine learning engineers and architects. Once this requirement is done away with, the entire process of machine learning will be automated and this will pave the way for widespread adoption of both machine learning and deep learning techniques. This also means that the costs that are associated with adoption of machine learning and deep learning techniques will be reduced by a significant amount.

Human computer design and human computer interaction

Human computer design and human computer interaction are two different but related processes. Human computer design is related to the design and development of intelligent machines that are equipped with great cognitive capabilities. On the other hand, human computer interaction is related to effective flow of information as well as emotions between humans and machines. It has been found that both the processes of human computer design and human computer interaction are interchangeably used in some of the cases. The broad aim of both the processes is to give rise to state-of-the-art intelligent machines that are capable of interacting with human beings in a manner that human beings interact with each other. This also means that advanced cognitive as well as emotive capabilities can help in giving rise to intelligent, automated as well as self thinking machines. It needs to be noted at this point in time that self thinking machines do not come under the domain of strong AI but are related to a higher level of weak AI.

Natural language processing

It is an open fact that natural language processing is the most widespread application of artificial intelligence. Apart from a wide range of sectors, Natural Language Processing finds applications in chatbot technology. Different types of chatbots are used to fabricate numerous grievance redressal mechanisms. In the communication sector, chatbot technologies are extremely important to respond to customer queries in real time.

Democratized AI and responsible AI

Democratized artificial intelligence and responsible artificial intelligence started to gain traction when technology related to artificial intelligence witnessed a rapid proliferation. This means that in order to restrict the free flow of artificial intelligence and bring it under the domain of a policy framework, regulation became important. It was also the need of the hour to ensure that the benefits of artificial intelligence reach to the different people irrespective of caste, creed, colour, sex, gender, race or any other social or economic inequality. The concept of democratizing artificial intelligence came into existence.

In a similar way, it was noted that artificial intelligence could prove to be a double edged sword in the times to come. This means that a lot of benefits from artificial intelligence would benefit the human race but the potential dangers could be a risk to the existence of humans itself. This is where the concept of responsible artificial intelligence comes into existence. Responsible artificial intelligence is all about ensuring that the research in the domain of AI technologies does not go beyond human control.

The way ahead

It is extremely important that responsible AI and democratic AI are brought into the limelight at an earliest. This will help in drafting an ethical framework for Artificial Intelligence and ensuring the right use of this technology. Ethical AI is the means to an end and the end is the welfarism of the humans by reaping the benefits of AI to its full potential.