Developments in the AI Industry
The fourth phase of the industrial revolution is all about automation and artificial intelligence which is powered by data science to a great extent. The need to reduce the chances of human error and automate repetitive mundane tasks has been paramount. We are moving to a stage where human inputs are needed only in critical situations and machines are handed over the responsibility to carry out day to day operations.
Even the AI is evolving on a continuous basis, making the machines able to carry out fairly complex tasks as compared to their traditional use in repetitive functions. Autonomous driving vehicles are the talk of the town; this indicated the degree to which the AI has penetrated human lives and the way of living. The
AI with machine learning algorithms made its presence felt across various industries including healthcare, education, e-commerce, finance, etc. From robot advisors to customized product recommendations it has directly or indirectly influenced the lives of masses and will aggressively continue to do so in the coming future.
The role of an AI Researcher
The role of a researcher in any field is more focused on gathering information and discovering new aspects of the field, it’s more concentrated towards exploring and discovering the unknowns of a subject matter. According to computer science, AI research has been established as the study of intelligent agents, intelligent agents here are described as machines or devices that comprehend its surroundings and act accordingly after analyzing all the variables that increase its chances of achieving set goals successfully.
The role of an AI researcher incorporates multiple things; it requires people to work on problems related to machine learning technology. In a brief sense, you have to identify a problem in your domain, get relevant information regarding the problem through research reports and other sources, understand the maths and prepare the algorithm that gives you a sense of the real problem in coding terms. After this, you’ll need to experiment and test the algorithms on various data sets, adjust with the results obtained from the experiment and finally write your research report based on your findings of the problem.
People working as AI researcher have a thorough understanding of the fundamentals of this technology and they apply this understanding to develop algorithms to solve a problem, these algorithms are then tested on multiple data sets before coming to a general conclusion. The day to day task for an AI researcher includes algorithm building, natural language processing, building data sorting, and organizing mechanisms. AI researchers also have an in-depth understanding of multiple computer programming languages that helps them to do their task with relative ease.
A large number of AI specialists work in areas of applied AI where they program computer smart systems. These systems are used with progressive gadgets that help to perform tasks like voice recognition, facial recognition, and other complex assessments. The AI research scientists are responsible for designing, undertaking and analyzing relevant data and information.
Conclusion
The work of an AI researcher broadly includes engaging in behaviors to solve real-life challenges. While identifying the problem it is also important to identify the bias attached to it and to exploit the bias in the AIs to learn some important aspects of it.
The learning and insights are further applied to real-world data samples to make an observation and then modify accordingly as per the evolving nature. The three important aspects of it are to design an intelligent system to solve real-life problems, to understand the fundamental properties and know the limits of the system and to imitate the natural intelligence found in humans and animals into man-made machines.
