ANN or artificial neural networks are the computing systems developed by taking inspiration from the biological neural networks; the human brain being its major unit. These neural networks are made functional with the help of training that follows some kind of a learning rule. A learning rule in ANN is nothing but a set of instructions or a mathematical formula that helps in reinforcing a pattern, thus improving the efficiency of a neural network. There are 6 such learning rules that are widely used by neural networks for training. Hebbian Learning Rule Developed by Donald Hebb in 1949, ... Read More

Intelligence can be defined as the ability to learn, understand and apply knowledge and skills. Human Intelligence is a multifaceted concept that encompasses many types. Before understanding the types of human intelligence let’s have a look at the basic difference between Human intelligence and Artificial intelligence − Human intelligence is associated with creativity, emotion, flexibility, and the ability to learn from a wide range of experiences. Unlike human intelligence, artificial intelligence cannot think creatively, experience emotions, adapt to new circumstances, or understand ethical and moral issues. While machine learning and human learning share some similarities, reinforcement learning uses ... Read More

"Artificial intelligence" (AI) is a branch of computer science that tries to give computers the ability to comprehend spoken and written words similar to human beings which is a field of "natural language processing" (NLP). Computational linguistics combines a variety of technologies, including deep learning, machine learning, and statistics. Combining these technologies enables computers to completely "understand" the meaning of texts and speech, including the speaker's or writer's intention and sentiment, and to interpret human language as text and audio data. Why is it Important to use Grammar Structure in NLP? Communication is the act of sharing information through signals ... Read More

Computer science and artificial intelligence's Natural Language Processing (NLP) branch focuses on how computers and human language interact. It entails the creation of models and algorithms that can analyze, comprehend, and produce human language. Numerous issues, including language translation, sentiment analysis, text summarization, speech recognition, and question-answering systems, are resolved using NLP. As the amount of digital text data continues to increase exponentially and the need to glean insights and knowledge from this data increases, these applications have grown in significance. What are Transformers in NLP? Transformers, a specific type of neural network design, have become quite popular in NLP ... Read More

If you have ever talked with chatbots and used language translation tools, then you will know that these tools work exactly like a real human. This is possible because they use Natural Language Processing (NLP) techniques to understand the natural languages that humans use for communication. However, this is quite complex because each language has a different nature and structure along with various contexts. Natural Language Processing (NLP) uses a number of techniques to get outputs as close as the natural language. Some of these techniques include − Lemmatization − It is the process that reduces the ... Read More

Because they present the potential of autonomous automobiles using our roads in the future, self−driving automobiles have captured the attention of people all over the world. Modern technology has the ability to significantly alter both transportation and daily life in many ways. This article will address the development of self−driving automobiles and the profound consequences for the future that they carry. Advancements in Self−Driving Cars Sensing and perception Self−driving automobiles need a sophisticated sensor network to efficiently identify the surrounding area. Cameras, radar detectors, and ultrasonic instruments are some of the sensors that collaborate to collect information about the environment ... Read More

We are surrounded by an incredible quantity of information in the modern digital world. The choices range from television shows and novels to goods and services. Given the abundance of options available, it can be quite challenging for users to pinpoint precisely what they are seeking. Recommender systems can help in this situation. In this post, we'll look at the concept of recommender systems and how they give users individualized recommendations to assist them in sorting through the dizzying array of internet possibilities. What are Recommender Systems? Algorithms used in recommender systems are used to identify and suggest products and ... Read More

Artificial Intelligence (AI) is revolutionizing the financial services industry, offering a wide range of opportunities for enhanced efficiency, cost reduction, and improved customer experiences. Financial institutions are experiencing a change as a result of AI technologies, which provide multiple chances to increase productivity, save expenses, and improve client experiences. In order to fulfill the promise of AI in financial services, there are important difficulties that must be overcome in addition to these opportunities. In this article, we'll discuss the applications of AI in the financial services sector, as well as the benefits and drawbacks they bring. Opportunities of AI in ... Read More

Companies are constantly looking for innovative ways to streamline their processes and boost efficiency in today's fast−paced corporate environment. Robotic Process Automation (RPA) is one well−liked method that is gaining popularity. RPA automates repetitive and rule−based operations using intelligent software robots or bots, enabling businesses to increase productivity, reduce errors, and redirect human resources to more strategic work. The following article explores further the world of RPA, examining its advantages, method of implementation, and effects on business processes. Recognizing RPA (Robotic Process Automation) Robotic process automation is a technique that automates repetitive operations by using software robots that mimic human ... Read More

The convergence of Artificial Intelligence (AI) and creativity has sparked a transformative revolution, reshaping the artwork and music industries and pushing the boundaries of creative expression. In this article, we will discover the profound effect of AI on the artwork and music industries, analyzing how it is remodeling the innovative panorama. From producing original artworks to composing harmonies, AI is redefining the function of technology within the creative procedure. We may also discuss the moral issues that arise and envision this interesting collaboration's destiny. AI in Art: Expanding Horizons of Creativity Throughout records, artwork has been pushed by means of ... Read More