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Nanonets Raises $29 Million to create Autonomous AI Agents for business workflows

UncategorisedMarch 13, 2024107Views 0Likes 0Comments

We’re super thrilled to announce that we’ve raised $29 million in our Series B funding round led by Accel India in our journey to reimagine how businesses manage workflows! The funding round also saw participation from existing investors Elevation Capital, YCombinator and others. This takes the total funding raised till date to $42M. Where…

What is Record-to-Report (R2R Process) in Finance?

UncategorisedMarch 12, 2024219Views 0Likes 0Comments

Record-to-Report (R2R) is a critical finance management process in corporate finance, which focuses on collecting, processing, and delivering accurate financial data. This process encapsulates everything from recording financial transactions to the preparation and reporting of financial statements and performance reports that stakeholders use to make key decisions. For businesses, R2R is not merely a regulatory…

Python Enum: How To Build Enumerations in Python

Data AnalyticsMarch 11, 2024136Views 0Likes 0Comments

Image by Author If you’ve programmed in a language like C++ or Java, you’ve likely used enums to create named constants. Enums are helpful when you have a variable that takes one of a fixed number of values—often related such as the days of the week, student grades, order status, and the like.…

Revolutionizing Robotic Surgery with Neural Networks: Overcoming Catastrophic Forgetting through Privacy-Preserving Continual Learning in Semantic Segmentation

AI NewsMarch 11, 2024130Views 0Likes 0Comments

Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. However, they face catastrophic forgetting and a rapid decline in performance on previous tasks when learning new ones, posing challenges in scenarios with limited data. DNNs’ struggle with catastrophic forgetting hampers their proficiency in recognizing previously…

Using Causal Graphs to answer causal questions | by Ryan O’Sullivan | Jan, 2024

Data ScienceMarch 11, 2024124Views 0Likes 0Comments

Causal AI, exploring the integration of causal reasoning into machine learning This article gives a practical introduction to the potential of causal graphs. It is aimed at anyone who wants to understand more about: What causal graphs are and how they work A worked case study in Python illustrating how to build causal graphs How…

Top 10 OCR Software for Hospitals in 2024

UncategorisedMarch 8, 2024153Views 0Likes 0Comments

As the hubs for patient care and medical administration, hospitals often manage vast amounts of paperwork and documentation. The traditional reliance on manual data entry consumes valuable time and introduces the risk of errors that can have critical consequences. Enter Optical Character Recognition (OCR) software is a technological marvel reshaping how hospitals handle documentation processes.…

5 Free Courses to Master SQL for Data Science

Data AnalyticsMarch 6, 2024146Views 0Likes 0Comments

Image by Editor SQL is a must-have skill for all data professionals. But achieving mastery in SQL is a continuous journey. Here we’ve compiled a list of five super useful yet free SQL courses to help you learn and become proficient in SQL. These courses cover all the SQL you’ll need for data…

Meet Gen4Gen: A Semi-Automated Dataset Creation Pipeline Using Generative Models

AI NewsMarch 6, 2024151Views 0Likes 0Comments

Text-to-image diffusion models are among the best advances in the field of Artificial Intelligence (AI). However, there are constraints associated with personalizing existing text-to-image diffusion models with various concepts. The current personalization methods are not able to extend to numerous ideas consistently, and it attributes this problem to a possible mismatch between the simple text…

Downscaling a Satellite Thermal Image from 1000m to 10m (Python) | by Mahyar Aboutalebi, Ph.D. 🎓 | Mar, 2024

Data ScienceMarch 6, 2024253Views 0Likes 0Comments

Thermal sharpening of Sentinel-3 images: From 1 Km to 10m using Python in Google Colab 13 min read · 11 hours ago Sentinel-3 thermal image downscaled from 1000 m to 10 m, visualized by the author.🌅 Introduction 💾 Downloading Sentinel-3 (1000 m) and Sentinel-2 images (10 m) ⚙️ Sentinel-3 Image Processing 🌡️…

Extractive Summarization with LLM using BERT

Data AnalyticsMarch 6, 2024181Views 0Likes 0Comments

Image by Editor In today's fast-paced world, we're bombarded with more information than we can handle. We’re increasingly getting used to receiving more information in less time, leading to frustration when having to read extensive documents or books. That's where extractive summarization steps in. To the heart of a text, the process…