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What is Deep Learning? Beyond the Basics of AI

What is Deep Learning? Beyond the Basics of AI AI’s everywhere—unlocking your phone, suggesting playlists, even driving cars. But how does it get *so* smart? Enter deep learning—a game-changer in artificial intelligence. Welcome to Decoding Complexities , where we unravel tech’s toughest puzzles. If you read “What Are Neural Networks?” you’ve brushed against this. Now, we’re going deeper. In this post, we’ll decode what deep learning is, how it powers AI’s wildest feats, and why it’s more than just buzz. From self-driving Teslas to ChatGPT, it’s the engine behind the magic. Let’s break it down—ready? Deep Learning: The Basics Deep learning (DL) is a subset of machine learning—itself a chunk of AI. Remember neural networks from my last post? DL cranks them up—think neural networks on steroids. It’s all about *deep* neural networks—piles of layers that dig into data to find patterns no human could spot. Here’s the gist: More Layers: Regula...
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What Are Neural Networks? AI’s Brain Explained

What Are Neural Networks? AI’s Brain Explained Artificial intelligence (AI) is everywhere—powering your Netflix picks, driving cars, even chatting with you. But how does it *think*? The answer lies in neural networks—AI’s brain. Welcome to Decoding Complexities , where we unravel tech’s toughest puzzles. In this post, we’ll decode what neural networks are, how they mimic our brains (sort of), and why they’re the backbone of modern AI. From image recognition to chatbots, they’re the magic behind the curtain. Let’s break it down—ready? Neural Networks: The Basics Neural networks are the heart of machine learning, a key piece of AI. Think of them as a simplified version of the human brain—not alive, just math. Our brains have neurons—billions of cells passing signals to process thoughts. Neural networks copy that idea with artificial neurons—nodes connected in layers. Here’s the rundown: Layers: Three main types—input, hidden, and output. I...
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How Does AI Use Cryptography: Securing the Future

How Does AI Use Cryptography? Securing the Future In today’s digital world, artificial intelligence (AI) powers everything from Siri answering your questions to Netflix picking your next binge. But how does AI keep your data safe from hackers? Whether it’s voice commands or driving patterns in self-driving cars, AI handles sensitive information that needs protection. That’s where cryptography comes in—the science of secure communication I’ve covered before. Welcome to Decoding Complexities , where we unravel tech’s toughest puzzles. If you caught my video “What is AI?” or read my post “Artificial Intelligence,” you know AI thrives on data, algorithms, and machine learning. This post dives deeper: how does AI use cryptography to ensure security and privacy? We’ll explore AI encryption methods, from securing data to protecting models, and peek at what’s next for these technologies. Let’s decode this power duo. Cryptography Recap: The Security Backbone I’ve ...
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CRTDUPOBJ, CPYF and The difference

CRTDUPOBJ & CPYF CRTDUPOBJ & CPYF are the two commands that are often used when it comes to creating a copy of the object and copying the data from a physical file to another.  Let's have a detailed look at each of these commands in detail and see the difference between two of them. CRTDUPOBJ (Create Duplicate Object) The Create Duplicate Object (CRTDUPOBJ) command copies a single object or a group of objects. It does not create an exact duplicate of files. CRTDUPOBJ can be used to copy a group of related objects by specifying a generic object name or by specifying *ALL or more than one object type. When copying a group of related objects, 'To Library (TOLIB)' should be different from From Library (FROMLIB). You can specify whether data in physical files or save files is copied.  You can also specify whether any constraints or triggers associated with an existing database file are to be associated with the newly-created file and whether the file level and member lev...
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What is a Rational Agent? The Concept of Rationality - Explained

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Rationality 'Rationality' is the most important concept in understanding Artificial Intelligence (If you haven't already read, take a quick look at What is Artificial Intelligence? ). To better understand AI, we can compare it with Humans. This leads us to the below four categories. Among these possibilities, a system/agent that can act rationally is good. On a high level, we define being rational as doing the right thing. But, is it always possible to do the right thing? And, what does it mean to do the right thing? For easier understanding, let's compare with humans. Is it always possible for us to do the right thing? Even though we aim to do the right thing with the knowledge we have acquired so far, we cannot guarantee the result. We learn from the outcome and consider it next time we do something similar. Similarly, acting rationally is trying to do the right thing based on the information that a system/agent has. ...
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What is Artificial Intelligence?

Artificial Intelligence Artificial Intelligence (In short, AI) is a highly sought-after skill in the Tech Industry today. In this post, let's try to understand " What is Artificial Intelligence? ". Before we dive in, let's first understand "What is Intelligence?" As humans, we think and act. This involves understanding our environment, predicting outcomes, and behaving accordingly. Similarly, AI focuses on building machines that can understand, predict, and act/respond effectively and safely. AI isn't exclusive to any specific industry. Its applications spread across different industries, including playing chess, proving mathematical theorems, driving cars, writing poetry, composing music, generating videos, diagnosing diseases, and much more. The field is continually evolving. Initially, AI was often defined in relation to matching ' Human performance '. However, AI has surpassed human capabilities in several areas and ...
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What is the importance of User Open (USROPN) in RPGLE - IBM i

User Open (USROPN) USROPN (User Open) in RPGLE provides the flexibility for the programmer to open a file at a specific point in the program execution. In this post, let's explore what is the use of a USROPN and what is the importance of USROPN and how to use it with a simple example. What is the use of USROPN? By default, any file in the RPGLE (defined in F-Spec) opens as soon as the program execution is started and file is closed at the end of the program (by setting LR indicator ON). A simple RPGLE program looks something like this on a high level with out the use of a USROPN.  1 2 3 4 5 6 7 8 9 10 11 **Free                                  Dcl-F TestFile;                            ...
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