Mastodawn

Here is the second part of my @devoxx and #JFall conference interviews for the @foojay #Podcast. #OpenJDK Evolutions, #Java on Mobile, #JavaFX, and Tips and Tricks brought to you by @johanvos, @steveonjava, Joseph Phillips, François Martin, Wouter de Geus, and Roald Nefs.

Watch it on YouTube:
https://www.youtube.com/watch?v=qw-x3_pZ0wI

Or listen in your favorite podcast app.

OpenJDK Evolutions plus Tips and Tricks (#83)

YouTube

Frank Delporte Nov 15

At @devoxx and #NLJUG #JFall conferences, I interviewed speakers and attendees for the @foojay #Podcast. In part 1, you'll learn more about ongoing #OpenJDK projects and #TornadoVM.

Guests: Moritz Halbritter, John Ceccarelli, Balkrishna Rawool, Christos Kotselidis, and Michalis Papadimitriou.

Watch on YouTube or listen in your favorite podcast app.

https://www.youtube.com/watch?v=Srxy_ukw3-k

OpenJDK Projects (Leyden, Babylon, Panama) and TornadoVM (#82)

YouTube

Nicolai Parlog Nov 6

As always, #JFall was a blast - thanks for having me and letting me tell people about the latest #Java features. 🙏

Slides: https://slides.nipafx.dev/java-x/2025-11-06-j-fall

Deven Phillips Nov 6

Thanks for all of the great sessions #jfall

Blogfeedser Nov 6

Na een korte nacht, gevolgd door een hele dag #Java-praat op #JFall, zoals elk jaar na een snelle hap weer snel door naar #LeGuessWho.

Yorgos Saslis Nov 6

Nice to see some familiar faces & meet new ones over at #JFall !

Always inspiring to speak to folks who care about Open Source. It really makes working on #radicle worth it all the more!!

Thanks to #NLJUG for organising such a large event and being great hosts!

Hope to be back again some day! o/

Ana-Maria Mihalceanu Nov 6

Thank you to everyone that attended our talk on writing #AI models in pure #Java 🥳 !!!

The slides Lize Raes and I used at #JFall are available below, but you can always connect with us and ask more questions on what we presented 😇!!!
https://www.slideshare.net/slideshow/writing-gpu-ready-ai-models-in-pure-java-with-babylon-08de/284064587

Writing GPU-Ready AI Models in Pure Java with Babylon

Project Babylon introduces the experimental Code Reflection technology that lets you define machine learning logic in plain Java code, without needing Python or external model files. It then uses Foreign Function and Memory (FFM) API to connect your code to native runtimes like ONNX Runtime for fast inference, including GPU acceleration. Furthermore, the Heterogeneous Accelerator Toolkit (HAT) provides a developer-facing programming model for writing and composing compute kernels, which can be more broadly applied-allowing Java libraries to seamlessly harness GPU power for high-performance computing tasks. Presented at JFall 2025 by Ana-Maria Mihalceanu and Lize Raes - Download as a PDF or view online for free

Slideshare

Susanne Pieterse Nov 6

While attending #NLJUG #JFall, be sure to catch Bruno Souza's presentation at 15:50 about "Growing Beyond Senior: Build Influence and Reputation Through #Java, Open Source, and Community". There could be a surprise guest appearance... 😉

Susanne Pieterse Nov 6

My mentoring session "Innovate with #GenAI and #RAG in your applications" at #NLJUG #JFall is about to start. Join me at the Mentorship Hub (first floor near room 9) at 14:40h!
Info #7: https://jfall.nl/mentorship-hub-with-bruno-souza/

Mentorship Hub with Bruno Souza – J-Fall: a NLJUG conference

Susanne Pieterse Nov 6

Join me at the Mentorship Hub at #JFall (first floor near room 9) at 14:40h for my session "Innovate with #GenAI and #RAG in your applications". We'll address your biggest challenges so far in applying it to your existing (legacy) applications.
Info #7: https://jfall.nl/mentorship-hub-with-bruno-souza/
#Java #devlife