AI Agenda: Japan Strikes Back
As Western artificial intelligence developers accelerate international expansion, Japan, the world’s fourth-largest economy, is shaping up to be a key battleground.
Read more from @JuroOsawa 👇
theinformation.com/articles/japan…
To secure the much-needed computing power of the next generation of our MN-Core AI processors, we are testing high-density servers with a direct liquid cooling system that efficiently manage the heat from the chips.
preferred.jp/en/news/pr2025…
We are accepting pre-entries from students expected to graduate in 2027 for new hires. Entrants will receive direct notices from PFN. Please register here:
preferred.jp/en/news/2027-n…
Optuna v4.5 has been released!
⛏️GPSampler for constrained multi-objective optimization
🚀Significant speedup of TPESampler and plot_hypervolume_history
🦾CmaEsSampler now supports 1D search space
🐍The optunahub library is published on conda-forge
github.com/optuna/optuna/…
We have developed a caching system for container images in #kubernetes. By introducing a new caching tier within a cluster, we have achieved faster image pulls and reduced network traffic. Blog post: tech.preferred.jp/en/blog/kubern…
We just launched a specialized LLM PLaMo™ Translate!
🇯🇵High-quality translation to and from Japanese
🌐Free trial on website
🏢Compact enough for on-premises use
💬Fluent output in consistent formatting
Please try it out!
preferred.jp/en/news/pr2025…
Optuna v5 will be built with the power of the community! We'd love your input and participation — check out the feedback form on the roadmap: forms.gle/wVwLCQ9g6st6AX…
We've published the development roadmap for Optuna v5, the next major release! Scheduled for release next summer, v5 will focus on making Optuna even more powerful and user-friendly — especially at the intersection of generative AI and black-box optimization.
🎉✨#OmegaCrafter 1.0 is OUT NOW! 🎉✨
◇ Celebrate with us! ◇
🎁 30% OFF Sale & 🎶 Soundtrack FREE for a limited time!
🏆 Omega Crafter Awards are now open!
◇ What's new in the 1.0 ◇
☄️ New biome "Lost World" added
🛠️ 340 building materials & creative mode
🧩 Challenge…
PFN has raised an additional 5 billion yen in an extension round (total of 24 billion yen in the latest round). The raised fund will be used for the development of MN-Core™ series of AI chips, PLaMo™ LLM, collaborations with the investors, and more. preferred.jp/en/news/pr2025…
Optuna v4.3.0 has been released! This is a maintenance release with various minor bug fixes and improvements to the documentation and more.
👇See what’s new
github.com/optuna/optuna/…
Our new system reconstructs high-def digital 3D models from photos of real-world spaces using #3DGS.
With the UE5 plugin users can take advantage of this tech for movies, ads, games, tourism, real estate and more. Read more and check out our demo:
preferred.jp/en/news/pr2025…
We are now accepting applicants for our 2025 summer internship program in Japan!
Application deadline: 23:59 on Sunday, April 20, 2025 (JST)
preferred.jp/en/news/intern…
6 parties including PFN will use PFN’s AI-based weather data compression and transmission platform Cumulon and other advanced technologies to provide high-precision weather forecasts to visitors and staff of Expo 2025 Osaka, Kansai, Japan
preferred.jp/en/news/pr2025…
Watch this 13-minute video of PFN co-founders Toru Nishikawa and Daisuke Okanohara introducing the company's vision, strategies, solutions for real-world problems, AI chips and management styles on CNBC's #ManagingAsiacnbc.com/video/2025/03/…
Preferred Networks will be featured in Managing Asia on CNBC this weekend📺Don't miss out!
Europe (CET)
Sat, Mar 8: 6:00, 10:00, 18:00
Sun, Mar 9: 7:00, 16:00, 19:00
Asia (Hong Kong/Singapore)
Sat, Mar 8: 7:00, 18:00
Sun, Mar 9: 8:00, 10:00, 19:00
Preferred Networks will be featured in Managing Asia on CNBC this weekend📺Don't miss out!
Europe (CET)
Sat, Mar 8: 6:00, 10:00, 18:00
Sun, Mar 9: 7:00, 16:00, 19:00
Asia (Hong Kong/Singapore)
Sat, Mar 8: 7:00, 18:00
Sun, Mar 9: 8:00, 10:00, 19:00
Our PFP descriptors achieve accuracy that is superior or comparable to models on the official Matbench Leaderboard—highlighting their remarkable potential for transfer learning!
Read more: tech.preferred.jp/en/blog/the-po…
Our PFP universal neural network potential shows good surface energy prediction, comparable to the best-performing models in the CHIPS-FF benchmark. For more details, please visit tech.preferred.jp/en/blog/benchm…
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Japanese account: @matlantis_ja
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🫶 Support us via GitHub Sponsors: https://t.co/Xk2Syli21o
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