Pure Java AI

An airhacks.fm (airhacks.fm) conversation with Dr. Zoran Sevarac (@zsevarac ( / zsevarac ) ) about:
Zoran previously on airhacks.fm: (airhacks.fm:) "#169 Deep Learning with Modern Java Code" (airhacks.fm/#e...) ,
discussion about the latest updates and features in DeepNetts (www.deepnetts....) ,
a full-stack Java (www.java.com/en/) AI platform,
University of Minnesota's drug testing application using DeepNetts,
Jefferson Lab's particle research using DeepNetts Community Edition,
including GPU support for faster inference using jcuda (javagl.de/jcuda...) ,
TensorFlow compatibility, and simplified AI integration with JSR-381 (jcp.org/en/jsr...) ,
real-world applications of DeepNetts in drug testing and particle research,
challenges and considerations for using GPUs in serverless (en.wikipedia.o...) environments,
the potential of Apple's M-series chips for machine learning,
exploring Project Babylon (openjdk.org/pr...) and Code Reflection (openjdk.org/pr...) in Java,
using Panama (openjdk.java.n...) and jextract (github.com/ope...) for native library bindings,
the importance of having developer tools and an IDE for building AI models,
plans for integrating large language models into DeepNetts,
the advantages of a pure Java solution for AI in enterprise applications,
and the bright future of Java in the AI ecosystem,
Deep Nets 3.1.0 release with GPU support
Dr. Zoran Sevarac on twitter: @zsevarac ( / zsevarac )