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The secret to creating an error free AI is the main science behind ai is we give output and we have a expected output in between we have a fine layer in which we have neural network we need to increase the neural network in the layers instead of add

Who/What will replace AI ??? Here is the answer Human-Biological Hybrid Systems ("Wetware") Integration of AI with human biology via brain-computer interfaces (e.g. Neuralink). This could replace standalone AI by merging machine efficie

What is a Neural Network? Think of a neural network like your brain learning to recognize a dog. Imagine you're a child. At first, someone shows you a picture of a dog and says, “This is a dog.” Next time, they show you another animal and ask, “

Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr

🚀 Calling all Software Engineers! Here's how to upgrade for the AI era😶: -1. Learn AI Fundamentals: Understand ML, neural networks, and deep learning. -2. Specialize: Focus on NLP, computer vision, or reinforcement learning. -3. Practice: Build AI

7 Podcasts to Supercharge Your Machine Learning Knowledge 1. The AI Podcast (NVIDIA) Dive into real-world AI applications with expert insights from NVIDIA. 2. TWIML AI Podcast (TWIML) Stay ahead of the curve with deep learning trends and exper

Just completed a deep dive into how neurons and layers in neural networks mirror linear and logistic regression and how TensorFlow simply automates the math we've already learned. I revisited core concepts from linear and logistic regression and saw

Harnessing GPU Power with CUDA CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p

🧠 *Technologies for Data Science, Machine Learning & AI!* part 1 📊 *Data Science* ▪️ Python – The go-to language for Data Science ▪️ R – Statistical Computing and Graphics ▪️ Pandas – Data Manipulation & Analysis ▪️ NumPy – Numerical Computing ▪️

AI has grown rapidly through advancements in machine learning, increased computational power, and vast data availability. These factors enable AI systems to learn complex patterns, improve decision-making, and automate tasks across industries, from h