Optimization in machine learning refers to the process of adjusting a model’s parameters to minimize (or maximize) a specific objective function, typically the loss function. It is a core component of training algorithms and determines how well a model learns...

Quantum Computing is a next-generation computing paradigm that leverages the principles of quantum mechanics—such as superposition, entanglement, and quantum interference—to process information in fundamentally new ways. Unlike classical computers that use bits (0 or 1), quantum computers use qubits, which...

Text-to-Image refers to a class of generative AI models that can create realistic or artistic images from natural language descriptions. These models interpret a user’s prompt—such as “a futuristic city at sunset”—and generate a corresponding image, often within seconds. As...

IoT (Internet of Things) refers to a network of physical devices embedded with sensors, software, and connectivity that enables them to collect and exchange data. These devices range from smart home gadgets to industrial sensors. When connected, they create a...