Category: Info
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Mark Zuckerberg’s Vision of Personal Superintelligence: Empowering People with AI
Late July 2025 marked a pivotal moment in the tech world as Mark Zuckerberg – the founder and CEO of Meta (formerly Facebook) – unveiled an ambitious new vision for the future of artificial intelligence. In a personal press release and blog post on July 30, 2025, Zuckerberg introduced the concept of “personal superintelligence” for…
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Artificial Superintelligence (ASI)
Artificial Superintelligence (ASI) refers to a hypothetical level of artificial intelligence that vastly surpasses human intelligence across virtually all domains of interest. An ASI would outperform the best human minds in every field – from scientific discovery and creative innovation to social skills and general problem-solving. This concept represents the upper extreme of AI development,…
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Natural Language Processing (NLP)
Definition of NLP Natural Language Processing (NLP) is a branch of artificial intelligence (AI) and computer science that focuses on the interaction between computers and human language. In simple terms, NLP enables machines to understand, interpret, process, and generate human (natural) languages, both text and speech, in a way that is useful and meaningful. Achieving…
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Large Language Model (LLM)
Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like language. They belong to a class of foundation models – AI models trained on immense amounts of text data that give them broad capabilities across many tasks. Instead of being narrowly programmed for one purpose, an LLM learns from billions…
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Machine Learning (ML)
Machine Learning (ML) is a subfield of artificial intelligence (AI) focused on developing algorithms that allow computers to learn from data and improve their performance over time without being explicitly programmed. In practical terms, a machine learning system automatically finds patterns in training data and uses those patterns to make predictions or decisions when given…
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Deep Learning
Definition and Overview Deep Learning is a subfield of artificial intelligence and machine learning that focuses on using artificial neural networks with multiple layers (hence “deep”) to learn from large amounts of data. In simpler terms, it involves stacking many computational units (neurons) in layers so that a computer can automatically learn complex patterns and…
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AI and Robotics: Transforming Industries in 2025
Artificial Intelligence (AI) and robotics are no longer futuristic concepts – they are present realities revolutionizing industries across the globe. From operating rooms and factory floors to farm fields and city streets, intelligent algorithms and autonomous machines are boosting efficiency, enhancing decision-making, and unlocking new possibilities at an unprecedented scale. In 2025, AI-driven insights and…
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Human-in-the-Loop (HITL)
Human-in-the-Loop (HITL) refers to any system or process that integrates active human participation into an otherwise automated workflow or control loop. In an HITL model, a human operator is not just a passive observer but is involved in the operation, supervision, and decision-making of a computerized or autonomous system. The concept applies across multiple domains…
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A Comprehensive Overview of AI Models
Artificial Intelligence (AI) models are the engines of modern AI systems – computational frameworks trained on data to recognize patterns, make predictions, or take actions without explicit programming. Over the decades, AI models have evolved from early rule-based expert systems to advanced machine learning and deep learning architectures. Today’s AI models excel at tasks ranging…