Artificial Intelligence – Arunangshu Das Blog

Edge computing diagram showing data processing near data source

Can Edge Computing do Real-Time Data Processing for Faster, Smarter Applications?

In the fast-evolving world of technology, edge computing has emerged as a revolutionary force. It enables data to be processed closer to its origin, reducing latency, enhancing real-time decision-making, and ultimately powering a smarter, more efficient world. What is Edge Computing? Edge computing is the process of decentralizing data processing by bringing it closer to […]

Can Edge Computing do Real-Time Data Processing for Faster, Smarter Applications? Read More »

How AI is Transforming Software Development

Artificial Intelligence, Software Development / January 7, 2025

Artificial Intelligence (AI) is revolutionizing industries worldwide, and software development is no exception. From automating repetitive tasks to enhancing code quality, AI is streamlining workflows and elevating the role of developers. In this blog, how AI is transforming the software development lifecycle and improving efficiency, scalability, and security, with practical insights and real-world examples will

How AI is Transforming Software Development Read More »

Image Enhancement Techniques in Deep Learning

Image Enhancement: Top 10 Techniques in Deep Learning

Deep Learning, Must Read / January 12, 2025

In image processing, deep learning has emerged as a powerful tool for enhancing images. Whether it’s sharpening blurry images, denoising photos, or improving image resolution, deep learning techniques have revolutionized the way we perceive and manipulate visual data. 1. Super-Resolution Super-resolution aims to enhance the resolution of an image, increasing its clarity and detail. Deep

Image Enhancement: Top 10 Techniques in Deep Learning Read More »

NLP: Fine-Tuning Pre-trained Models for Maximum Performance

NLP / January 12, 2025

In Natural Language Processing (NLP), pre-trained models have become the cornerstone of many cutting-edge applications. These models, often trained on vast amounts of text data, possess the ability to understand and generate human-like language. However, achieving optimal performance with pre-trained models requires more than just plugging them into your application. Fine-tuning, a process where a

NLP: Fine-Tuning Pre-trained Models for Maximum Performance Read More »

NLP for Bias Detection and Mitigation

NLP / January 12, 2025

In today’s world, where data guides decisions in many areas, it’s crucial to be fair. But, there’s a big problem: data often contains biases, which can make automated systems unfair. Natural Language Processing (NLP) offers solutions to find and fix these biases, giving hope for fairer outcomes. Understanding Bias in NLP Bias in NLP refers

NLP for Bias Detection and Mitigation Read More »

What are Large Language Models (LLMs)?

NLP / January 12, 2025

In recent years, large language models (LLMs) have revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These algorithms have the ability to understand, generate, and manipulate human language with unprecedented accuracy and fluency. Understanding Large Language Models: Large language models, also known as LLMs, are advanced AI systems designed to process

What are Large Language Models (LLMs)? Read More »

Text Embeddings in NLP

Must Read, NLP / January 12, 2025

In Natural Language Processing (NLP), where machines endeavor to understand and generate human language, text embeddings stand as the cornerstone of modern techniques. Text embeddings are numerical representations of text data that capture semantic and syntactic information, enabling machines to comprehend and process human language more effectively. Understanding Text Embeddings Text embeddings transform raw text

Text Embeddings in NLP Read More »

Named Entity Recognition (NER) in Natural Language Processing (NLP)

Must Read, NLP / January 21, 2025

In Natural Language Processing (NLP), Named Entity Recognition (NER) stands as a fundamental technique with remarkable potential. It’s the key that unlocks the treasure trove of information concealed within textual data. From extracting entities like names of people, organizations, locations, dates, and more, NER revolutionizes how we comprehend, analyze, and interact with language. Understanding Named

Named Entity Recognition (NER) in Natural Language Processing (NLP) Read More »

BERT

Must Read, NLP / January 21, 2025

In the world of computers and language, understanding human language has always been really hard. But now, things are changing thanks to a cool new technique called BERT. It’s like a super smart tool that helps computers understand language better. It’s making a big difference in how we use computers to understand what people are

BERT Read More »

YOLO Algorithm: An Introduction to You Only Look Once

Deep Learning / January 21, 2025

In computer vision and object detection, algorithm that stands out for its efficiency and accuracy: YOLO, short for You Only Look Once. Developed by Joseph Redmon and Santosh Divvala, YOLO revolutionized object detection by introducing a single neural network architecture capable of detecting objects in real-time with impressive precision. What is YOLO? YOLO Algorithm is

YOLO Algorithm: An Introduction to You Only Look Once Read More »