AI models are at the heart of modern technological advancements, powering applications from chatbots and virtual assistants to self-driving cars and medical diagnosis systems. These models enable machines to learn from data and make intelligent decisions, transforming industries by automating tasks and generating insights that were once beyond human capability. What is an AI Model? ...
Agents play a critical role in artificial intelligence (AI) by enabling machines to interact with their environment and make decisions autonomously. These agents can range from simple reflex-based systems to complex learning agents that improve with experience. AI agents serve as the building blocks for many intelligent applications, including self-driving cars, virtual assistants, and recommendation ...
Artificial Intelligence (AI) enables machines to mimic human intelligence for tasks like learning, problem-solving, and pattern recognition. With growing investments and applications across industries, AI plays a critical role in transforming fields such as healthcare, finance, and transportation. The global AI market is projected to reach $1.8 trillion by 2030, highlighting its potential impact. However, ...
Artificial Intelligence (AI) is transforming industries across the globe, and India is emerging as a hub for AI talent. The demand for AI engineers is on the rise, driven by rapid technological advancements and the adoption of AI across sectors like healthcare, finance, retail, and automotive. Understanding salary trends is essential for aspiring AI professionals ...
Artificial Intelligence (AI) continues to reshape industries, with the global AI market projected to reach $407 billion by 2027 (Fortune Business Insights). AI adoption has surged, with 37% of organizations now using AI-based tools (Gartner). From self-driving cars to personalized marketing, AI enables businesses to optimize processes and enhance user experiences. However, it also presents ...
In Artificial Intelligence (AI), reasoning plays a crucial role in building systems that can make decisions and infer knowledge based on facts and conditions. However, propositional logic is limited in its ability to represent complex relationships or detailed information. Predicate logic, also known as first-order logic (FOL), extends propositional logic by allowing AI systems to ...
Artificial Intelligence (AI) is about building machines and systems that can reason, learn, and solve problems, similar to how humans do. In many AI applications, logical reasoning plays a crucial role, allowing systems to make decisions based on given conditions and facts. Propositional Logic is a fundamental part of AI that deals with reasoning using ...
A Bayesian Belief Network (BBN) is a type of probabilistic graphical model that represents a set of variables and their conditional dependencies through a directed acyclic graph (DAG). These networks are powerful tools for reasoning under uncertainty and are widely used in artificial intelligence (AI) applications. BBNs are built using Bayes’ theorem, which allows the ...
Reasoning is a key component of artificial intelligence (AI), allowing systems to make logical inferences and solve problems. Two essential strategies for reasoning are forward chaining and backward chaining. These approaches are commonly used in AI systems to derive conclusions or find solutions based on a set of facts or rules. Both forward and backward ...
Speech recognition plays a crucial role in artificial intelligence (AI), allowing machines to understand and respond to human speech. It bridges the communication gap between humans and machines, making interactions seamless and efficient. With advancements in AI, speech recognition has become essential in technologies like virtual assistants, chatbots, and smart devices. The ability to convert ...
Mohit Uniyal
Mayank Gupta
Team Applied AI