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JUPITER, Europe’s first exascale supercomputer at Germany’s Forschungszentrum Jülich, runs on NVIDIA Grace Hopper Superchips and NVIDIA Quantum-X800 InfiniBand networking — and it’s had a busy year. As the international supercomputing community gathers at ISC in Hamburg this week, four projects running on JUPITER point to what exascale computing can actually do: map the human […]
For the past two years, the U.S. National Science Foundation’s National Artificial Intelligence Research Resource (NAIRR) pilot program has driven innovative research across the U.S. for over 700 projects — spanning protein prediction and infectious disease outbreak management. NVIDIA contributed to the NAIRR pilot through a cloud-based resource that gives researchers dedicated access to a […]
Mission, Vision and Veritas — new Los Alamos National Laboratory (LANL) supercomputers to be built with HPE and NVIDIA — are tapping NVIDIA Vera CPUs to accelerate scientific discovery, unlocking agentic AI for science. The supercomputers will use the HPE Cray Supercomputing GX5000 architecture with the NVIDIA Vera Rubin platform, combining NVIDIA Vera CPUs, NVIDIA […]
At the ISC conference running in Hamburg this week, NVIDIA is introducing new software that speeds AI for science, from chemistry and materials discovery to the search for dark matter. The NVIDIA DAQIRI library and new NVIDIA ALCHEMI NIM microservices — as well as the NVIDIA cuPhoton reference code, coming soon — turn work that […]
The next era of AI will not be defined by compute alone. Its growth will be determined by energy. As accelerated computing scales across AI factories, agentic AI, industrial AI, edge computing and physical AI — including robotics and autonomous systems — global electricity demand is rising at unprecedented speed. In many regions, expanding grid […]
See how top researchers used IBM Quantum Credits to develop new methods that extend today’s quantum hardware.
Your AI tools may be doing exactly what you asked. That doesn't mean they're doing what the business needs. The post Automation doesn’t eliminate vague objectives appeared first on MarTech .
How religious are beliefs in the singularity?
Learn how to balance AI chatbot efficiency with the high-touch needs of enterprise sales to engage VIP prospects without losing the human touch. The post How to blend AI chatbots with high-touch sales appeared first on MarTech .
Don't wait for your company to figure out AI. Use personal projects to gain practical experience and uncover skills you can apply at work. The post Build your AI skills with a useful home project appeared first on MarTech .
Most AI agent tutorials start with an API.
Everyone says Claude can’t make pictures. That’s partly true. Here is the kind of art it makes on its own, with no plugins and no connectors: Drawn by Claude in SVG, no image model anywhere near it. Not pixels but code: shapes and coordinates that stay sharp at any size and redraw themselves when you […] The post Claude’s Hidden Art Skill: Making Illustrations With Code appeared first on Analytics Vidhya .
The more I dig into the economics, the harder it is to see AI data centers as a good business, and they’re now my leading candidate for what pops the AI bubble in the next 6 to 12 months. The concern isn’t that AI stops improving or that demand vanishes. It’s that spending has raced Continue reading "The Bear Case for AI Data Centers" The post The Bear Case for AI Data Centers appeared first on Gradient Flow .
a policy framework for derisking success
PLUS: A Chinese open model just made the closed-model default less obvious.
OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.
OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review.
L’Oréal has announced a collaboration with OpenAI that will bring Maybelline New York’s virtual makeup try-on feature into ChatGPT. The announcement was made at VivaTech 2026. The partnership covers consumer-facing shopping tools, product discovery, advertising pilots, research, and internal content production. The collaboration also covers L’Oréal’s internal use of AI in research, formulation, content production, […] The post L’Oréal brings Maybelline virtual try-on to ChatGPT appeared first on AI News .
A new form of vendor lock-in is here. And it’s not proprietary languages or rigid enterprise software suites — it’s something more fundamental. It’s the very thing that writes the code. JetBrains Research found that 74% of developers worldwide use AI tools. Claude Code , available only since May 2025, is now the most popular AI coding tool, followed by Gemini Code Assist and GitHub Copilot , according to Jellyfish’s 2026 State of Engineering Management Report . The latter study also found that 91% of developers say their productivity has increased in the past 12 months. As coding output expectations are rewritten daily , the engineering world is becoming heavily reliant on paid external AI services. Gartner predicts that by 2028 spending on AI coding tokens could exceed developer salaries. Yet, tokenmaxxing while vibe coding through a vendor’s cloud-based API feels like a far cry from the open foundations of free programming languages and open models, which many of today’s AI platforms now abstract. “Open infrastructure will be the backbone of the AI era,” says Peter Farkas , CEO of Percona , a provider of open-source database solutions. “Right now, too many companies are building their entire AI strategy on top of proprietary platforms because the convenience is seductive.” “It’s ‘three clicks’ to stand up a database or an AI service in a hyperscaler, and that convenience blinds people to the lock-in they’re signing up for,” he adds. “As AI workloads mature, organizations w…
Hot tubs sit at about 38 to 40 degrees Celsius, warm enough that most people can only soak for about 15 minutes. NVIDIA’s newest AI servers can run their cooling liquid even hotter — up to 45 degrees Celsius, or 113 degrees Fahrenheit. That higher temperature limit is precisely what makes them more energy efficient. […]
Two decrees guiding Vietnam's upcoming Press Law No 126/2025/QH15 will take effect on July 1, alongside three ready‑to‑issue circulars, ensuring no legal gap when the law comes into force.
The post Adani made his billions off docked ships. He is now eyeing those at sea too appeared first on The Ken .
Nature Machine Intelligence, Published online: 22 June 2026; doi:10.1038/s42256-026-01252-6 An, Luo, Zhang and colleagues present Turbo, a transformer-based reinforcement learning framework that enables simulation-to-real transfer for autonomous navigation and obstacle avoidance in physical microrobotic swarms operating in unknown environments.
Building performant sandbox systems goes way beyond the initial container boot. Here, we unpack what that means, and discuss some tools to help you manage the entire lifecycle.
Ten days after Washington pulled Anthropic's top models from foreign hands, the bill came due. This week Beijing blacklisted 56 American firms, Anthropic's own filing admitted the trigger was a routine coding request rival models can run, and Microsoft's CEO warned that letting "a few models eat everything" won't survive politically. The export war just stopped being one-directional — here's the week that made it mutual.
Jaeeun Jang, Hansle Lee and Sangmin Kim in Findings of the Association for Computational Linguistics: ACL 2026
Moin Aminnaseri, Hannah Kim and Estevam Hruschka in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Zhan Su, Xiaoya Chen, Fengran Mo, Ida L. Vos, Prayag Tiwari, Yazhou Zhang, Qian Zheng and Natália da Silva Perez in Findings of the Association for Computational Linguistics: ACL 2026
Rei Emura and Saku Sugawara in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Haoran Sun, Zekun Zhang and Shaoning Zeng in Findings of the Association for Computational Linguistics: ACL 2026
Louis Estève, Christophe Servan, Thomas Lavergne and Agata Savary in Findings of the Association for Computational Linguistics: ACL 2026
Hao Zhou, Tianhao Li, Zhijun Wang, Shuaijie She, Linjuan Wu, Hao-Ran Wei, Baosong Yang, Jiajun Chen and Shujian Huang in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Wen Huang, Yuchen Mao and Yanmin Qian in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Bhavik Chandna and Procheta Sen in Findings of the Association for Computational Linguistics: ACL 2026
John Chen, Alexandros Nikolaos Lotsos, Sihan Cheng, Lexie Zhao, Yanjia Zhang, Jessica Hullman, Bruce Sherin, Uri Wilensky and Michael Horn in Findings of the Association for Computational Linguistics: ACL 2026
Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu and Weinan Zhang in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Gonzalo Ariel Meyoyan and Luciano Del Corro in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Varshini Reddy, Craig W Schmidt, Seth Ebner, Adam Wiemerslage, Yuval Pinter and Chris Tanner in Findings of the Association for Computational Linguistics: ACL 2026
Berk Atıl, Namrata Sureddy and Rebecca J. Passonneau in Findings of the Association for Computational Linguistics: ACL 2026
Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho, David Harwath and David R. Mortensen in Findings of the Association for Computational Linguistics: ACL 2026
Naen Xu, Jiayi Sheng, Changjiang Li, Chunyi Zhou, Yuyuan Li, Tianyu Du, Jun Wang, Zhihui Fu, Jinbao Li and Shouling Ji in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Jiachen Qian and Zhaolu Kang in Findings of the Association for Computational Linguistics: ACL 2026
Ruyuan Wan, Changye Li and Ting-Hao Kenneth Huang in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Yuting Huang, Yiquan Wu, Meitong Guo, Ang Li, Xiaozhong Liu, Keting Yin, Fei Wu and Kun Kuang in Findings of the Association for Computational Linguistics: ACL 2026
Yang Wu, Jinhong Yu, Jingwei Xiong, Zhimin Tao and Xiaozhong Liu in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Learn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt.
sqlite-utils is my combined Python library and CLI tool for working with SQLite databases. It provides an extensive set of higher-level operations on top of Python's default sqlite3 package , including support for complex table transformations , automatic table creation from JSON data and a whole lot more. I released sqlite-utils 4.0rc1 , the first release candidate for sqlite-utils v4. The major version bump indicates some (minor) backwards incompatible changes, so I'm interested in having people try this out before I commit to a stable release. New feature: migrations There are two significant new features in this RC compared to the previous 4.0 alphas. The first is support for database migrations . This isn't a completely new implementation - it's a slightly modified port of the sqlite-migrate package I released a few years ago. I think that package has proved itself over time, so I'm now ready to bundle it with sqlite-utils directly. Here's what a set of migrations in a migrations.py file looks like: from sqlite_utils import Database , Migrations migrations = Migrations ( "creatures" ) @ migrations () def create_table ( db ): db [ "creatures" ]. create ( { "id" : int , "name" : str , "species" : str }, pk = "id" , ) @ migrations () def add_weight ( db ): db [ "creatures" ]. add_column ( "weight" , float ) This defines a set of two migrations, one creating the creatures table and another adding a column to it. You can then run those migrations either using Python: db = Da…
Release: sqlite-utils 4.0rc1 See sqlite-utils 4.0rc1 adds migrations and nested transactions . Tags: sqlite-utils