Artificial Intelligence (A.I.) is an uncomplicated problem-solving process for humans. It facilitates software in performing tasks without being explicitly programmed before-hand. Artificial intelligence describes a situation where a machine is capable of replicating and carrying out tasks which require intelligent human behaviour. Some of these tasks may incorporate problem-solving and quick decision-making or specific activities requiring acute perception, recognition, or translation abilities.
Artificial intelligence should not be considered as the technology to replace us, but as a technology which will speed and assist human decision making. It expands our abilities and functionality and makes us better at what we do. This function can be explained because AI algorithms learn differently as compared to humans, they look at things differently. They can see relationships and patterns that escape us.
Machine learning elucidates on machines that are developed to learn and make swift decisions by examining and interpreting large amounts of input data. These machines can make calculated and safe decisions and/or forecasts based on examining this information and consequently performs some tasks that perhaps in the past could only be performed by humans due to their intellect. Machine learning generally includes activities like speech recognition, translation, visual perception, amongst others. Machines learn and provide these intellectual insights through the systematic and structured use of learning algorithms.
To offer business value, the machine is trained to analyse and identify patterns from data and then can subsequently proceed independently on new and fresh data. This leads to the advent of a dynamic feedback loop, which enables it to productively ideate more models to attain additional insights, with even more accuracy, without needing supplementary resources or human interaction. With the continuous advancement in this field, machines are gradually becoming self-healing, self-organising, and self-architecting, and smoothly producing greater value for businesses.
Future of Artificial Intelligence
When it comes to the future of AI, there are countless possibilities. AI can help elevate pretty much every single industry, especially education and transport. In the near coming future, we can expect to see a remarkable impact on automated transport and commutation. Humans are capable of making involuntary mistakes or errors, which could prove to be fatal especially in the case of navigating a vehicle. Automated forms of navigation and transport mean that there will be a considerably less amount of accidents. Automated transport also saves valuable resources like time and money. AI can also be implemented to solve a host of problems associated with the current environment. With enhanced processing power, AI, in collaboration with data science and other technologies, can possibly solve critical issues such as climate change, natural disaster prediction, and so on.
Future of Machine Learning
Machine learning personalisation algorithms are used to recommend users and motivate them to complete certain actions. With such machine learning algorithms, you can artificially create the information in the form of data and make appropriate conclusions, such as a person’s unique behaviour and interests. For example, an algorithm can conclude from a person’s browsing activity on an online e-commerce website and discover that he is inclined to purchase a music speaker for his car. Without this information, the buyer could have left the website without making a purchase.
Cognitive services basically refer to a set of machine services, which enables developers to incorporate intelligent functions into their applications. With the presence of such services, developers can enable their applications to carry out various functions, such as vision recognition, speech detection, and speech understanding. Since the technology is continuing to grow, we are likely to witness the growth of highly intelligent applications that can increasingly speak, hear, see, and even communicate with their surroundings.
Aspirants wishing to grow their career in the fields of artificial intelligence and machine learning should definitely consider UPES as an institute to cultivate their skills. The University offers a B.Tech in Computer Science & Engineering with a specialisation in machine learning & artficial intelligence. This course aims to educate the students in order to prepare them for the future and be at the center of the growth of a host of industries such as manufacturing, education, and healthcare amongst others.