Artificial Intelligence is transforming industries, and Java—one of the world’s most widely used programming languages—needs to evolve with it. That’s where JSR 381: Visual Recognition (VisRec) API comes in!
What is JSR 381?
JSR 381 is a Java Specification Request (JSR) under the Java Community Process (JCP) that standardizes machine learning-based image recognition in Java applications. It provides an easy-to-use API for image classification and object detection, enabling AI-driven solutions without leaving the Java ecosystem.
Why is JSR 381 Important?
✅ Bringing AI to Java Developers – Java teams can now integrate AI-powered computer vision without switching to Python or other ML frameworks.
✅ Enterprise-Ready AI – Java dominates finance, healthcare, and IT—industries handling vast amounts of data. JSR 381 enables them to leverage AI-driven insights while keeping their existing infrastructure.
✅ Standardized & Simplified AI – No need for deep ML expertise! With JSR 381 and Java-based AI tools like Deep Netts, developers can train, test, and deploy AI models more efficiently.
✅ Bridging the Gap Between Java & AI – With AI becoming a must-have in modern applications, JSR 381 ensures Java remains a top choice for AI-powered enterprise solutions.
Meet the Minds Behind JSR 381
JSR 381 was authored by Java Champions Frank Greco and Zoran Sevarac, two key figures in the Java AI community. Their work in advancing AI-powered Java solutions is shaping the future of machine learning in enterprise applications.
The Future of Java + AI
As AI adoption accelerates, JSR 381 represents a crucial step toward making machine learning a native capability in Java. Whether you’re in finance, security, or data analytics, this standard opens new possibilities.
Our Advisor Frank Greco Talks About Predictive AI with JSR 381 on LinkedIn Learning!
AI is transforming the way we process data, and predictive AI is at the heart of this revolution. Our advisor, Frank Greco, dives deep into how JSR 381: Visual Recognition (VisRec) API enables Java developers to build powerful AI-driven solutions in his LinkedIn Learning course.
What You’ll Learn:
✅ How JSR 381 simplifies AI-powered image recognition and predictive analytics in Java
✅ Why Java-based AI tools like Deep Netts help enterprises scale AI solutions
✅ How businesses can integrate predictive AI into their existing Java applications
If you’re a Java developer, AI enthusiast, or enterprise architect, this is a must-watch session!
📢 Check out Frank Greco’s insights on LinkedIn Learning and start leveraging AI with Java today!
