Table of Contents
Updated September 2021
Artificial Intelligence (AI) is elevating technology in every industry, including software. Since, Java is the programming language of choice, there are quite a few AI libraries in Java and tools available. As you might know AI covers a wide area in software. So, in this article we have chosen five popular sub-fields, to give you an overview of the various AI sub-fields, and tools and libraries in Java available for each one.
Natural Language Processing
Natural Language Processing (i.e; NLP) deals with interpreting human language in natural form. AI, computer science and computational linguistics are combined to allow interaction between computers and humans, in order to achieve this. NLP finds application in speech recognition, text-to-speech, search and analysis of data etc. This has a lot of practical applications, especially when it concerns speech recognition, natural language understanding and generation.
Apache OpenNLP
This library is a machine learning based toolkit that processes natural language text. The project was developed by the open source community, and it supports common tasks such as part-of-speech tagging, parsing and language detection among others.
Stanford Core NLP
Written in Java, Stanford Core NLP consists of a suite of integrated human language technology tools for NLP. The framework is used for many tasks such as; indicate sentiment, give the base forms of words and parts of speech et al.
Expert Systems
These are systems that make informed decisions based on context. In other words, it mimics the decision-making ability of a human by working on the basis of the if-then rule. This is done by thousands of nested if-then statements. Popular in AI since the 80s, this knowledge-based system finds application in Finance (monitoring), law (AI attorney) and healthcare (diagnosis).
Apache Jena
This is a free and open source framework in Java that is used for building linked data and Semantic web applications. It has internal reasoners, an API to create and read RDF (Resource Description Framework) and supports Web Ontology Language as well.
PowerLoom
Written in STELLA, PowerLoom is a system for constructing intelligent, knowledge-based applications. It can be easily translated into Java and comes with the PowerLoom GUI and Ontosaurus (web-based browser).
Neural Networks
The Neural Networks system consists of an algorithm modeled on the way the neurons in the human brain functions. Here you have neural nets placed one on top of the other in interconnected tiers. While the raw input is fed to the first tier, the output is received at the last tier. This type of system finds application in face recognition software, signal processing etc.
Neuroph
This is an open-source, lightweight Java framework that is used to create neural network architecture. It comes with a GUI tool and Java neural network library to make the process of developing, training and saving the neural network simpler.
Deeplearning4j
Eclipse Deeplearning4j is a distributed deep-learning library written in Java and compatible with JVM languages. It is completely open source. It supports GPUs and is integrated with Hadoop and Apache Spark.
Automatic Programming
This is a type of computer programming where there is an auto-generation of code snippets based on context. That program code automatically gives rise to another program based on certain specifications. Automatic Programming can be split into two categories—generative programming and source code programming. In the former, standard libraries are used to improve efficiency and in the latter a template that has been created with a programming tool generates the code.
jOOQ
Java Object Oriented Querying, known as jOOQ, is a database mapping software library. It is used to generate Java code from the database and allows for the integration of SQL language into Java to build safe quality SQL quickly.
Spring Roo
This is a lightweight, open-source developer tool for Java engineers to create rapid applications. It is part of the Spring portfolio of products and it not only allows for coding in Java, but also allows the reuse of existing knowledge and skills in Java.
Genetic Algorithms
This algorithm is inspired by evolutionary biology and natural selection. In this case, an optimized solution for a problem is generated based on a set of input parameters. Genetic Algorithms are able to search through large and complex data sets and hence finds application in varied industries such as engineering design, robotics, and automotive design among others.
Jenetics
Written in Java, Jenetics is an advanced evolutionary/genetic algorithm and genetic programming library. It comes with an Evolution Stream to execute the evolutionary steps and implement the Java Stream interface.
Watchmaker
This is a framework to implement platform-independent evolutionary algorithms in Java. Watchmaker is said to be high-performance and object oriented, and comes with a multi-threaded evolution engine. It also comes with an evolution monitor to track the progress of the evolution.
We have listed a few Java-based tools and libraries for certain AI fields. This is by no means a complete list, but it is still an important one.
Is Your Business Looking for Java Development Services?
In the last two decades, Java has increasingly become the preferred platform for Web Application Development Services for Enterprise Level Businesses. Our team of SUN certified Java Developers and SCRUM certified Project Managers bring a combined Java application development expertise of over 15 years to your project.
Let the team at Asahi Technologies help you with your next java development or custom software development for your business.
Want to read some of the 5-Star Reviews of our development services?
Contact us today to get a free consultation for your business.
Stay ahead of the game with our helpful resources
4 digital solutions to address common application performance issues
High network latency, memory leaks, slow page loads, heavy CPU usage, and unresponsive servers are all typical performance issues we’ve experienced at some point when using or accessing digital applications. With how easy they occur in projects across verticals, you might be wondering whether the development teams behind these programs have done enough due diligence prior to the release. But human errors and oversight aren’t always the culprit. The reality is that while developers can strive to develop a fully functioning program with virtually no apparent faults upon delivery, no software is truly error-free. Even the most rigorously tested applications
6 useful tips for creating more robust application lifecycle management
As digital technology becomes the norm, software acquisition is now key to gaining a competitive edge in today’s market. Be it as a value offering tailored to consumers or a productivity tool to run complex processes, custom software undeniably helps companies drive growth and deliver value more efficiently. Just as necessary as having a proprietary application is prescribing a standard procedure to govern and maintain its utility. This is to ensure that your business can develop or adopt the right type of software—one that can fully cater to your business needs while keeping disruption to a minimum across critical milestones.
5 major roadblocks businesses must overcome when transitioning into a new software environment
As the business landscape becomes increasingly saturated, staying ahead of the curve often means embracing disruptive technologies to meet the fickle market demands. In most cases, this entails knowing when to pivot your current strategy to an entirely new solution. But recognizing the importance of digital shift is one thing; implementing the necessary IT upgrade is another. A global survey by Deloitte has found that although 87% of companies manage to identify the impact of digital trends on their industries, only 44% have adequately prepared for the coming disruptions. This vast disconnect between organizational expectations and conditions in the field
Is cloud computing the answer to better software development?
Cloud computing is perhaps not a term often heard in daily conversations, but it is one with a far-reaching impact on our technological needs. From expansive options of online data storage to numerous suites of web-based productivity tools like Google Workspace, nearly everyone has used a cloud-enabled technology. Over the last decade, this high degree of versatility also underpins the rapid cloud uptake among businesses. In fact, one survey has found that 94% of companies have already shifted their computing workloads on cloud platforms to varying extents. Unsurprisingly, the market size for cloud technology continues to grow exponentially. With a
Vinod
Founder & Chief Strategist
Vinod is a deeply devoted digital health enthusiast who believes technology is a great enabler that provides the key to unlocking a better world. He is driven by a singular goal: to help healthcare organizations leverage technology to deliver better digital services for patients, providers, payers, and other community health stakeholders. His expansive computer science domain expertise, humanity, and commitment to community are major assets for healthcare, medical, pharmaceutical, and life science enterprises.
