Technology behind Artificial Intelligence
Technology behind Artificial Intelligence
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 into meaningful numbers…
Introduction to the Chain of Density Framework: A New Paradigm in AI Summarization In a world awash with limitless textual data, the art and science of summarization have become more crucial than ever. But what if, instead of simply condensing…
The internet is awash with unstructured data, from the Wikipedia page of NIH to social media posts, medical research papers, and more. But to make sense of this information, one must know how to organize it in a way that…
In today’s hyper-connected world, companies seem to have an uncanny ability to know what you think about them—whether you love their products or loathe their services. Ever wondered how they achieve this? No, they can’t read minds, but they can…
Natural Language Processing (NLP) is one of the most fascinating and integral fields of artificial intelligence. It’s a domain where machines attempt what once seemed impossible: understanding and generating human language. If you’ve ever used Google Translate, asked Alexa to…
Deep learning continues to redefine the boundaries of scientific discovery by solving highly intricate problems that were once intractable. One such area is the denoising of Distributed Acoustic Sensing (DAS) data, essential for seismology and real-time monitoring. In this detailed…
Welcome to a deep dive into the world of neural networks, where groundbreaking ideas and modern marvels intersect to redefine what machines are capable of achieving. Today, we embark on an intricate journey through the art of designing neural network…
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 deep learning is…
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 to achieve remarkable…
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 Transformer model. Introduced…