Storing images in a database is a common practice for many applications, from content management systems and e-commerce platforms to social media sites. Knowing how to store an image in a database efficiently can improve data integrity and streamline application performance. In this guide, we’ll explore the best practices for image storage in a database, […]
Brain imaging has revolutionized our understanding of the human brain, enabling scientists and researchers to study its structure, function, and underlying mechanisms with unprecedented precision. In recent years, the field of neuroscience has seen remarkable advancements through multimodal brain imaging data and analytics, which offer more comprehensive insights than traditional single-modality approaches. But what exactly […]
In an era of rapidly advancing technology, understanding the nuances between different methodologies is crucial for professionals and enthusiasts alike. Two terms that are often used interchangeably but are distinct in their applications are computer vision and image processing. At Akridata, where we leverage deep learning for advanced image inspections in product manufacturing and asset […]
In recent years, the integration of machine vision systems in robotics has revolutionized industrial processes, automating tasks that once required human intervention. From manufacturing to asset monitoring, these systems have expanded the possibilities for robots, making them more efficient, precise, and capable. In this article, we’ll explore the fundamentals of machine vision in robotics, its […]
Deep learning, a subset of machine learning, has revolutionized industries ranging from healthcare to manufacturing. At the heart of this transformation lies optimizers – key components that fine-tune deep learning models for superior performance. In this guide, we’ll explore what optimizers are, their significance, types, and how they influence the development of high-performing computer vision […]
Clinical trials are a cornerstone of medical innovation, but they are often plagued by high costs, long timelines, and inefficiencies. Artificial intelligence (AI) is revolutionizing the clinical trial process by enabling faster, smarter, and more effective trial designs and outcomes. In this blog, we’ll explore how AI is reshaping clinical trials, its top applications, and […]
Artificial intelligence (AI) is revolutionizing the pharmaceutical industry, streamlining processes, reducing costs, and accelerating drug discovery. From predictive analytics to personalized medicine, AI’s transformative applications are reshaping the future of healthcare. This guide explores the top applications of AI in the pharmaceutical sector and its impact on innovation. How AI is Transforming the Pharmaceutical Industry […]
Classification and clustering are two fundamental concepts in machine learning and data analysis. While both aim to categorize data, their methodologies and applications are distinct. This guide explores the key differences, real-world examples, and use cases of classification and clustering to help you choose the right technique for your project. What is Classification? Classification is […]
Cluster sampling is a widely used method in statistical research and surveys, offering efficiency and cost savings. This guide will explain what cluster sampling is, how it works, its real-world applications, and the benefits it provides for data collection. What is Cluster Sampling? Cluster sampling is a sampling method where the population is divided into […]
Introduction In the digital age, data visualization is an essential tool for making complex data understandable, actionable, and accessible. Whether you’re a marketer, data scientist, or business analyst, understanding the different types of data visualizations can help you tell compelling data stories and make informed decisions. What is Data Visualization? Data visualization refers to […]