AI

X-ray is the most common form of medical imaging: it is estimated that 3.6 Billion X-ray images are taken each year. 45% of radiologists report burnout due to reasons such as time pressure and the rising volume of scans. AI in analyzing and reporting X-ray results can have an impactful effect on radiology. In this article, we’ll go over the benefits of leveraging AI in X-ray analysis and provide recommendations for several challenges in implementation. Decreases the workload  Artificial intelligence increases the speed…

How to Become an Insight-Driven Organization To become an insight-driven organization (IDO), first and foremost, you need data and the tools to manipulate and analyze it. Another essential component is the people (i.e., data analysts or data scientists) with appropriate experience. Last but not least, you need to find a way to implement insight-driven decision-making processes across your company. The technology that lets you make the most out of your data is Machine Learning. The ML flow starts by using your data to…

It is a reasonable thing to expect n-dimensional tensor to have a possibility to be reshaped. Reshape means to change the spatial size of a container that holds underlying data. One can create any n-dimensional tensor that wraps a numerical array as long as the product of dimensions stays equal to the number of the array’s elements.  import torch # underlying data data = # has 8 elements # two ways to store identical data tens_A = torch.tensor(data).reshape(shape=(2,4)) # 2-dimensional tensor of…

Machine learning (ML) has been developed and growing fast. It also depends on an expert in ML to develop the ML model, i.e. pre-processing, building model, feature engineering, tuning of hyper-parameters, etc. Data scientists have many demanding responsibilities, and challenges. These challenges include the selection of the best algorithm, modification of this algorithm over many iterations, and identification and tuning of the hyper-parameters many times. Despite going through difficult processes, it is worth noting to…

TikTok is a video-sharing app that let users create and share short videos. It impresses users with its personalized "just for you” recommendations precisely. It is highly addictive and very popular among Gen Z. Behind it, it is powered by artificial intelligence technologies.  TikTok Architecture The architecture of the TikTok recommendation system includes three components: big data frameworks, machine learning, and microservices architecture. 1. Big data frameworks are the starting point of the system. It provides…

In the race to design great conversational experiences, adaptable NLU models will play a key role in the creation of truly intelligent chatbots. In this article, learn how Botpress stemmed from frustrations with poorly designed bots that led to a launch of an open-source managed NLU platform. Also, see why the future of chatbot design will shift from an intents-based approach toward knowledge-based models that offer greater adaptability and resiliency. Developer Accessibility Key to NLP Chatbot Advancement Chatbots have…

Test automation has transformed significantly over the years. It has helped QA teams reduce the chances of human error to a great extent. There are plenty of tools available for test automation, but identifying the right automation testing tool has always been a priority for an automation testing plan to be a success. Artificial Intelligence, machine learning, and neural networks are the trending topics of discussion in the tech world today. And, AI inevitably makes its place even in the automation testing space. The use…

                                Figure 1 GNN Demo Using PyTorck Lightning and PyTorch Geometric Using PyTorch Lightning with Graph Neural Networks In the world of deep learning, Python rules. But while the Python programming language on its own is swift to develop in a so-called “high-productivity” language, execution speed pales in comparison to compiled and lower-level languages like C++ or FORTRAN. One of the fundamental drivers of the neural network renaissance of the 2010s to today, aka the advent of deep learning,…

Artificial Intelligence in Architecture Artificial intelligence (AI) promises to revolutionize our present world. Not with anything so dramatic as sentient robots taking over society. Instead, it’s all about computer algorithms doing complex, interpretive tasks efficiently and, dare we say it, intelligently. One area where the promise seems exceptionally bright is architecture. In many ways, AI is the perfect tool for this field. Of course, there’s always an element of artistry when designing buildings and outdoor…

Introduction to Algorithms An algorithm is a step-by-step instruction to solve a given problem efficiently for a given set of inputs. It is also viewed as a tool for solving well-defined computational problems or a set of steps that transform the input into the output. Algorithms are language-independent and are said to be correct only if every input instance produces the correct output. The Instance of the Problem The input of the algorithm is called an instance of the problem, which should satisfy the constraints…