“ Java is preferred widely due to features like platform independence, object oriented programming, garbage collection, rich and standard library and multithreading support. Community Support for Java is vast and being open source there is continuous development in Java technology. Java technologies are widely used for developing applications in super large, large, medium, small, micro and nano systems and for web and cloud development.
Java tools are being applied by programmers all over the world in most remarkable ways. Let us know here 6 emerging fields where Java applications have proved to be amazing.”

Deep Machine Learning

AI cognitive chat systems are already using deep machine learning and quantum computing. Much of what we see as cognitive bots’ abilities can be attributed to deep learning technology. Deep learning is an evolving branch of machine learning that helps systems to learn from complex data and predict outcomes.

• Deep Java library

Java Deep learning Library has numerous powerful techniques that are used in training large artificial neural networks. DJL tools enable AI systems carry out complex tasks like action recognition, object detection, and natural language processing. ModelZoo is a powerful tool that can be used for training models and loading them in a single line of code. Companies that are presently using deep machine learning include names like Google, IBM, Intel, Microsoft, OpenAI, Qulacomm, NeuralWare, Starmind, Neurala and Clarifai.

• Quantum computing and deep learning

Several global companies have started adopting quantum computing in a significant way, like for cloud-based applications. Around 80 companies in the world that have started using quantum computing include well-known names like Amazon, Alibaba, IBM, Microsoft, Intel, and Google Quantum AI.

Big Data

Java is a preferred choice for handling Big Data, which includes massive volumes of both structured and unstructured data, in the following ways:

• Java is preferred programming language for developing frameworks that are used for managing Big data like Apache Hadoop, Apache Spark, Apache Flink, Apache Kafka.
• Big data complex operations and analytics can be performed using Java’s extensive collection of data structures and algorithms.
• Feature of scalability makes Java a preferred HLPL choice for handling large data sets and optimizing data processing tasks.
• Java is suited language for conduct of ETL that is extraction, transformation and loading of Big data.
• Java has interoperability and seamless integration with other programming languages and existing software, thus enabling organizations to incorporate Big Data capabilities into their current IT ecosystems.

Serverless Systems

Serverless system is known as Faas which stands for Function as a Service. Faas is a cloud based architecture that enables developers to run codes without having to deal with the underlying architecture. Major cloud providers and serverless platforms like AWS Lambda, Azure Functions and Google Cloud Functions support Java widely and hence Java is popular language for working on Faas and developing Faas based applications.

3D and VR Content

Java has useful applications in 3D and VR projects especially those that require portability and cross-platform capabilities features. Java has been used in various ways for 3D graphics and virtual reality applications.
Java 3D API: Java 3D API can be used by developers to create and modify graphics and virtual reality content in a 3D format.
VR Applications: Java has reported success in the creation of several VR applications and especially desktop VR applications. Java is compatible with advanced VR hardware and Java tools can be used for creating rich and immersive simulated reality in the cyberspace. Java has been used in scientific and engineering applications that require 3D visualization. These applications include data visualization, simulations, and computer-aided design (CAD) tools. NASA has applied Java tools to develop 3D virtual globe, a software that can create three dimensional models of planets using photos of planets captured by space craft aerial photography and display detailed data on planet geography and climatic conditions.
Game Development: Java has popular libraries that offer game development tools in 2D and 3D environments, one such library is jMonkeyEngine.
Augmented Reality (AR) Applications: While VR creates an entirely virtual and simulated world, AR applications augment the real world. Java tools, ARKit and ARCore have been effectively used for creating AR applications in iOS and Android platforms.

Embedded Systems

Like the name suggests, embedded systems are small computing devices that are embedded in larger devices and perform dedicated tasks. Several features present in Java HLPL, has made it a preferred choice for developing applications for certain embedded systems that include consumer electronics, automotive, industrial equipment, healthcare equipment, home automation, IoT devices, networking and telecommunication devices, digital signage and kiosks, smart TVs and set top boxes, robotics and drones, and education and training devices. JavaScript is used in some embedded systems, particularly those with web-based user interfaces or IoT applications. JavaScript can be run in web browsers or as part of server-side applications.

Data Minting

Smart contracts that provide gateway for interaction with the blockchain can be found in the Ethereum Virtual Machine or EVM. Smart contracts are programs that essentially comprise a collection of functions (codes) and state (data) that is associated with an address on the blockchain. An existing Ethereum node or peer (also called clients) needs to be accessed to begin work on the Ethereum network. After a new node is created it is linked with the accessed existing Ethereum node and in this way the block chain synchronizes new nodes with existing nodes. Once an Ethereum client program starts running, user can connect with accessed node using web 3j and applying Java codes.