neural network

Today, AI based on neural networks is at a very interesting stage of its development. It has clearly taken off: we see numerous applications from reading CT scans to picking fruits. But adoption rates vary a lot. Recommendation engines, customer support bots, and other stuff that's been called ”internet AI” are fairly widespread; we see it everywhere in our lives. However, most areas, including software testing, aren’t quite there yet. What makes AI widely adopted and what’s tripping it up? Let’s take a look at our own…

Embedded platforms have become an integral part of our daily lives, revolutionizing our technological interaction. These platforms, equipped with deep learning algorithms, have opened a world of possibilities, enabling smart devices, autonomous systems, and intelligent applications. Therefore, the deployment of deep learning algorithms on embedded platforms is crucial. It involves the process of optimizing and adapting deep learning models to run efficiently on resource-constrained embedded systems such as…

Introduction If you’re at all interested in Artificial Intelligence (AI) — and it seems likely that you are, since you’re reading this in the AI Zone here on DZone — it’s unlikely to be news to you that there is an AI skills shortage. Businesses are increasingly looking to invest in AI and are on the hunt for suitably skilled workers since traditional software teams without the experience of AI often encounter a number of challenges, as I described in a recent article in this zone. Anyone thinking about joining the AI…

If you are reading this article, you have probably already read Part 1. If not, you can find it here! We got a basic understanding of neural networks, so let’s dive even deeper. Once you got the dataset and problem identified, you can follow the below steps: Pick the network architecture (initialize with random weights) Do a forward pass (forward propagation) Calculate the total error (we need to minimize this error) Backpropagate the error and update weights (backpropagation) Repeat the process (2-4) for no of…

The recently released version 2.6 of the Java neural network framework Neuroph includes a handy new version of the image recognition tool, which is part of the NetBeans Platform based application Neuroph Studio. This new image reognition tool is the first project completed by the NetBeans Platform development team founded at the University of Belgrade, Serbia.The new image recognition tool provides a simple way to create neural network based image recognition components and to add image recognition capabilities to Java…

The American science fiction writer and popularizer of science Isaac Asimov in his works, predicted the emergence of psychologists to diagnose, analyze and identify similar patterns in the behavior of robots. In the novels "I, Robot," "Robots and Empire," and "Robot Element," Asimov touched upon topics related to artificial intelligence and robotics: ethics, security, and public perception. The Asimov "Foundation" series of books covers a period of several millennia and shows the history of the future of humanity in the…

Natural Language Processing (NLP) and Machine Translation have emerged as indispensable tools in our increasingly interconnected world. They bridge communication gaps, foster cross-cultural understanding, and drive business in the global market. However, the depth and nuance of human languages pose unique challenges to these technologies, chief among which is understanding context. The context in language refers to the circumstances or background against which a text or speech is understood. It is a fundamental aspect of…

Speech to text Gartner experts say that by 2020, businesses will automate conversations with their customers. According to statistics, companies lost up to 30% of incoming calls because call center employees either missed calls or didn’t have enough competence to communicate effectively. To quickly and efficiently process incoming requests, modern businesses use chatbots. Conversational AI assistants are replacing standard chatbots and IVR. They are especially in demand among B2C companies. They use websites and…

Say hello to classification algorithms! The idea of Classification Algorithms is pretty simple. You predict the target class by analyzing the training dataset. This is one of the most — if not the most essential — concepts you study when you learn data science. You might also like:  Top Machine Learning Algorithms You Should Know to Become a Data Scientist What Is Classification?  We use the training dataset to get better boundary conditions that could be used to determine each target class. Once the boundary…

Introduction In this modern and innovative world, individuals are capable enough to get what they see. The role of artificial intelligence would be simultaneously straightforward in that case. Artificial intelligence is one of the most famous data-driven technologies emerging at a swift pace, accommodating the whole world. There would be no surprise in saying that the market size of artificial intelligence is growing dramatically and will reshape the dimensions of technological advancements in the upcoming future. In…