Strong AI, also known as Artificial General Intelligence (AGI), refers to an advanced form of artificial intelligence that can think, reason, and learn at a human level or beyond. Unlike current AI models, which are designed for specific tasks, Strong AI aims to possess general intelligence, allowing it to adapt to unfamiliar situations, make independent ...
Artificial Intelligence (AI) algorithms are the core mechanisms that enable machines to process information, learn patterns, and make decisions without human intervention. These algorithms form the foundation of AI systems, allowing computers to recognize speech, classify images, analyze data, and predict outcomes with accuracy and efficiency. AI algorithms play a crucial role in automation, problem-solving, ...
AI ethics refers to the principles and guidelines that govern the responsible development and deployment of artificial intelligence. As AI continues to evolve and impact various industries, ethical considerations ensure that AI systems align with human values, fairness, and accountability. AI ethics helps prevent issues like bias, privacy violations, and harmful automation, ensuring that AI ...
Optical Character Recognition (OCR) is a technology that converts printed or handwritten text into machine-readable digital formats. It enables computers to recognize characters from scanned documents, images, and PDFs, allowing for automated data extraction, editing, and searchability. The evolution of OCR dates back to the early 20th century, with initial developments focused on reading text ...
Large Language Models (LLMs) have become essential in natural language processing (NLP) and AI applications, enabling more human-like text generation and comprehension. Evolving from basic rule-based models to advanced deep learning architectures, LLMs now drive automation, enhance AI communication, and expand capabilities in diverse industries, transforming how AI interacts with language. What is a Large ...
AI automation refers to the integration of artificial intelligence (AI) and automation technologies to create intelligent, self-learning systems that enhance business operations, decision-making, and efficiency. AI automation enables machines to analyze data, learn from patterns, and execute tasks with minimal human intervention. The relationship between AI and automation is crucial to understanding their combined impact. ...
Artificial Intelligence (AI) is a rapidly evolving field, with applications spanning healthcare, finance, robotics, and entertainment. AI is broadly categorized into Strong AI and Weak AI, each with distinct capabilities and implications. Weak AI is designed to perform specific tasks efficiently but lacks human-like intelligence. Strong AI, on the other hand, represents a theoretical concept ...
Data encryption is the process of converting data into an unreadable format, known as ciphertext, to prevent unauthorized access. It plays a crucial role in data protection, ensuring that sensitive information remains secure during storage and transmission. In today’s digital age, where cyber threats are prevalent, encryption is essential for safeguarding personal data, financial records, ...
AI bias refers to systematic errors in machine learning models that result in unfair treatment of certain groups or individuals. As AI systems influence critical decisions in healthcare, hiring, and finance, addressing bias is crucial. Unbiased AI promotes fairness, enhances trust, and ensures that technological advancements benefit all members of society equally. What is AI ...
LISP (LISt Processing) is one of the earliest high-level programming languages, created by John McCarthy in 1958. It was originally designed for artificial intelligence (AI) research and quickly became a foundation for symbolic computing. LISP introduced pioneering concepts such as automatic garbage collection, recursion, and dynamic typing, which influenced many modern languages. A hallmark of ...
Team Applied AI
Abhimanyu Saxena
