Technology behind Artificial Intelligence
Technology behind Artificial Intelligence
Artificial Intelligence (AI) and its subset, deep learning, are rapidly reshaping multiple dimensions of our existence, with healthcare at the forefront of the transformation. From automating diagnosis to unearthing intricate details in medical imagery, these advanced technologies…
Image segmentation is one of the most important tasks in the field of computer vision. It serves as a gateway for solving complex problems, empowering systems to understand visual data with meaning and precision. From detecting road…
In a child’s eyes lies an innate marvel — the effortless ability to observe and interpret the world. Imagine a three-year-old girl pointing at a photograph. Her tiny voice confidently identifies a “cat sitting in a bed,”…
In the evolving field of machine learning, words have always been at the heart of our quest to teach machines how humans communicate. From early attempts with bag-of-words models to more sophisticated neural network-based approaches, converting words…
In the ever-evolving world of artificial intelligence and machine learning, one remarkable tool continues to silently power a wide range of applications where high-dimensional data needs to be compressed, denoised, or understood: Autoencoders. This unsung hero of…
In the ever-evolving world of deep learning, transfer learning is one of the most impactful techniques that has revolutionized both computer vision and natural language processing (NLP). Its ability to leverage pre-trained models allows researchers and developers…
Introduction: A Paradigm Shift in AI Generative AI is at the forefront of technological innovation. From generating realistic images to writing human-like essays, the incredible breakthroughs in AI have largely been underpinned by a single architectural innovation—the…
In the rapidly evolving field of machine learning, few algorithms command as much respect and versatility as Support Vector Machines (SVMs). Designed primarily for classification and regression tasks, SVMs have carved a niche in solving some of…
As the field of machine learning has evolved, the need to effectively process sequential data such as text, audio, and time series has grown significantly. Traditional Recurrent Neural Networks (RNNs) have offered a valuable but limited solution,…
Artificial Intelligence (AI) has been pushing boundaries, bringing incredible innovations into our digital world. As machines strive to see and interpret the world like us, one of the leading drivers of this technological revolution has been Convolutional…