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How to Extract Key-Value Pairs Using Deep Learning

UncategorisedJuly 16, 202473Views 0Likes 0Comments

This tutorial blog examines some of the use cases of key-value pair extractions, the traditional and current approaches to solving the task, and a sample implementation with code. You encounter KVPs more often than you might realize. Remember the last time you flipped through a dictionary? Each word (the key) is paired with its definition…

10 Best Invoice Management Software Compared

UncategorisedJuly 15, 202468Views 0Likes 0Comments

IInvoice management software is transforming financial processes for businesses in 2024. If you're looking to streamline your invoicing, you're making a smart move that could save your company time and money. Many businesses face challenges with invoice processing—from data entry errors to delayed payments. These issues can impact cash flow and overall efficiency. Fortunately, there's…

Exploring NLP Preprocessing Techniques: Stopwords, Bag of Words, and Word Cloud | by Ravjot Singh | Jun, 2024

Human AiJuly 15, 202479Views 0Likes 0Comments

Natural Language Processing (NLP) is a fascinating field that bridges the gap between human communication and machine understanding. One of the fundamental steps in NLP is text preprocessing, which transforms raw text data into a format that can be effectively analyzed and utilized by algorithms. In this blog, we’ll delve into three essential NLP preprocessing…

Smart Workspace Optimization Using IoT Data Analytics

IoTJuly 15, 202481Views 0Likes 0Comments

There’s never been more pressure to optimize the workplace. Over the last few years, turbulent economic conditions have left many businesses looking for ways to cut costs and promote productivity in the office. Capitalizing on the Internet of Things (IoT) is a great way to do that. IoT devices like smart thermostats and occupancy…

How To Debug Running Docker Containers

Data AnalyticsJuly 14, 202473Views 0Likes 0Comments

Image by Editor | Midjourney & Canva Containers can sometimes behave unexpectedly due to configuration issues, application bugs, or resource constraints. In this tutorial, we'll go over the different methods to debug running containers by taking the example of a Postgres container. Prerequisites To follow along to this tutorial: You should have…

A Decade of Transformation: How Deep Learning Redefined Stereo Matching in the Twenties

AI NewsJuly 14, 202487Views 0Likes 0Comments

A fundamental topic in computer vision for nearly half a century, stereo matching involves calculating dense disparity maps from two corrected pictures. It plays a critical role in many applications, including autonomous driving, robotics, and augmented reality, among many others. According to their cost-volume computation and optimization methodologies, existing surveys categorize end-to-end architectures into 2D…

Hyperion: A Novel, Modular, Distributed, High-Performance Optimization Framework Targeting both Discrete and Continuous-Time SLAM Applications

RoboticsJuly 14, 2024154Views 6Likes 0Comments

In robotics, understanding the position and movement of a sensor suite within its environment is crucial. Traditional methods, called Simultaneous Localization and Mapping (SLAM), often face challenges with unsynchronized sensor data and require complex computations. These methods must estimate the position at discrete time intervals, making it difficult to handle data from various sensors that…

Reinforcement Learning, Part 5: Temporal-Difference Learning | by Vyacheslav Efimov | Jul, 2024

Data ScienceJuly 14, 202470Views 0Likes 0Comments

Intelligently synergizing dynamic programming and Monte Carlo algorithms R einforcement learning is a domain in machine learning that introduces the concept of an agent learning optimal strategies in complex environments. The agent learns from its actions, which result in rewards, based on the environment’s state. Reinforcement learning is a challenging topic and differs significantly from…

How to automate medical data extraction: A quick guide

UncategorisedJuly 13, 202464Views 0Likes 0Comments

Medical data extraction remains a significant hurdle, with the sector requiring 7.7x more administrative workers than other industries. Automating healthcare data extraction can help healthcare providers reduce operational spending and streamline their processes while improving patient care. These systems capture and extract crucial information from a variety of medical documents—patient records, insurance forms,…

From OCR to Deep Learning

UncategorisedJuly 13, 202465Views 0Likes 0Comments

In today's data-driven world, forms are everywhere, and form data extraction has become crucial. These documents collect information efficiently but often require manual processing. That's where intelligent document processing (IDP) comes in. IDP leverages OCR, AI, and ML to automate form processing, making data extraction faster and more accurate than traditional methods. It's not always…