• Robotics in Healthcare: Analyzing Risks, Reaping Benefits

    Welcome back to another blog in the series Robotics in Healthcare. Previously, we have looked at several new-age applications of robots in delivering healthcare and managing hospitals. Without a doubt, such applications are transforming how patients are treated and providing many benefits to patients, doctors, hospital management, etc. However, with advantages come a few risks and disadvantages too. What are those? Through this piece, we shall take a look at the benefits we can reap and the risks we must manage as far as the use of robots in healthcare is concerned. Read on! Reaping the benefits: Reduced errors The number of patients dying due to surgical errors has drastically…

  • Robotics in Healthcare: Applications (Part 2)

    In the previous blog, we witnessed how robotics has proven to be a boon for the healthcare industry. The emergence of robotics in healthcare has resulted in an enhanced healthcare system by making complex surgeries, patient screening, and disinfecting hospital areas much simpler. Continuing from the previous list of robotics applications in healthcare, we shall look at four more ways robotics shall impact our health from now on. Read on! Microbots for disease detection We have seen how giant metal robots help assist with surgeries, but the scope of robotics goes way beyond that. Microbots, small-sized robots, have a mighty significance in the healthcare industry. They enable doctors to perform…

  • Robotics in Healthcare: Applications (Part 1)

    The series starting with this blog was chosen by you – our readers and followers. Thus, we are extra excited about sharing interesting information through the upcoming blogs. We shall be talking about the confluence of 2 industries that are heavily trending at the moment. Robotics and healthcare! Hope you find the series engaging. The stress on greater precision in surgeries, better management of patients and hospitals, and reducing human errors in treatment keeps pushing the healthcare industry to adopt newer technologies. One such technology is robotics. The use of robotics in healthcare can be traced back to the 1980s when used for precise positioning of the cannula for brain…

  • 5 Reasons Why Your Warehouse Needs Machine Learning

    Welcome back as we conclude the Machine Learning (ML) series with this last interesting piece. We began the series by understanding what ML means. Then we looked at the different technical approaches that can be taken under ML. In the last blog, we focused on the impact of ML on manufacturing. We have tried to bring ML in more simplistic terms to our friends from manufacturing. And thus, we shall conclude the series with a piece on how you can use ML to enhance warehouses – a crucial component of the manufacturing cycle. Advancements in technology are not new to warehouses, and ML is just the latest type on the…

  • 4 Ways Machine Learning Can Improve Manufacturing

    After understanding the basics of Machine Learning (ML) and looking at the different approaches one can adopt, we shall now appreciate the impact ML is having on manufacturing. We hope that this blog proves helpful to readers from the manufacturing world. Read on! ML applications are descending from the white-collar financial analytics world into the brick-and-mortar world with the advances coming into data speed and processing speed of computers. It is increasingly deployed for quality checks, process optimization, and predictive maintenance in factories. It no longer remains in the realm of research. Now, the world realizes its true potential and utilizes it for better results in its products and processes.…

  • The Four Approaches to Machine Learning You Should Know

    Welcome to the 2nd blog in Rucha Yantra’s series on Machine Learning (ML). In the previous blog, we took an overview of ML, explored the basic terminologies associated, and looked at the most trending applications of ML in the world. Going a bit deeper, we shall look at the different approaches to Machine Learning – the different ways it can work. The basic functionality of ML is similar to how humans learn. Before an ML algorithm can analyze, judge, and finally act, it needs to be fed “learning” data for classification. Broadly, there are four different ways how this classification works. Let’s take a look!  1. Supervised learning: This is the…

  • Machine Learning: An Overview

    Thank you for staying tuned to Rucha Yantra’s blog series. Previously, we have shared our knowledge and general information on next-gen technologies such as Industry 4.0, IoT, and AI. With this blog, we are starting a series on Machine Learning (ML). First, we shall try to answer the most basic questions like: What is Machine Learning? What is the basic process of ML? What are the major real-world applications of ML? So, let’s start answering. Hope you find the ML series useful. What is Machine Learning? At its core, it is a tool for turning information into knowledge. Today, we are witnessing, with the rise of digital offerings and connectivity,…

  • Artificial Intelligence and Manufacturing: Top Applications

    Our last blog focused on understanding the various types of Artificial Intelligence. Some of them are already present in multiple services and products we use, while some of them are still decades away from materializing. Continuing in the AI series, we shall now look at some of the significant AI applications in manufacturing today. What are the different challenges manufacturers are trying to address using AI? And how are they benefiting? Let’s try and answer these questions. Predictive maintenance: Downtime and accidents are huge contributors to low production efficiency. Manufacturers can utilize AI to forecast when or if equipment shall fail and, accordingly, schedule maintenance activities. Such predictive analysis saves…

  • Classification of Artificial Intelligence

    In the previous blog, we tried to understand what Artificial Intelligence, essentially, means. We also looked at its significant applications that have already started to materialize across the world. But you’ll be fascinated to know that there isn’t just the AI. There are seven different types of Artificial Intelligence classified based on two criteria. Today, we shall take a more in-depth look into what these types are and their applications in the present and future world. We hope this makes an exciting read for you! Artificial Intelligence is all about building intelligent machines from vast volumes of data and getting them to perform human-like tasks, leading to an enhancement in…

  • Artificial Intelligence – An Overview

    Welcome to a new blog series on one of the most exciting and talk-about technologies globally – Artificial Intelligence (AI). We took a deep dive into what Industry 4.0 entails in our previous series, and now, we shall take a closer look at all the underlying technologies one by one, starting with AI. Read on to know what AI stands for, its various applications in the industry, and the three major types of AI.   What does Artificial Intelligence stand for? It is, essentially, a vast branch of computer science that concerns building smart machines that can perform tasks that typically need human intelligence. The primary purpose of AI is…