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AI Unmasked: How Artificial Intelligence Really Works and Is Changing Our World

AI Unmasked: How Artificial Intelligence Really Works and Is Changing Our World

OpenAI expects GPT-5 by summer 2025 with transformative improvements in understanding, memory, reasoning, and multimodal capabilities. The ImageNet dataset contains 14 million labeled images hand-tagged by thousands of workers, fueling modern vision AI. DeepMind’s AlphaFold solved a 50-year grand challenge by predicting protein three‑dimensional structures from genetic sequences. About 67% of firms report using AI in 2025, reflecting rapid adoption across industries. JPMorgan Chase reported a 20% reduction in certain fraud‑related losses and rejections after deploying AI for payment screening. In 2023, an AI‑generated song titled “Heart on My Sleeve” used vocals mimicking Drake and The Weeknd, prompting copyright concerns.
The Surprising Science Behind Neural Networks: How They Work and How to Build Your Own (Beginner’s Guide)

The Surprising Science Behind Neural Networks: How They Work and How to Build Your Own (Beginner’s Guide)

Neural networks are brain-inspired models that learn from data by adjusting weights and biases, not by hand-coding every rule. They consist of layers—input, one or more hidden layers, and an output layer—where each neuron connects to the next layer. Each connection has a weight and each neuron includes a bias, and these are the learnable parameters adjusted during training. Activation functions such as sigmoid, ReLU, and tanh introduce non-linearity enabling the network to model complex patterns. A forward pass moves data from the input layer through hidden layers to the output, computing weighted sums, adding biases, and applying activations. Training
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