Carbon-X lets researchers analyze and generate DNA sequences using plain language, Hugging Face says.
Ukraine says Model No. 13, a jointly NATO-developed AI tool, is ready to help forecast where and when Russian drone strikes may hit the front lines.
Ukraine’s defense ministry says its forces are about to start using Model No. 13, an artificial intelligence tool developed jointly with NATO, to forecast Russian drone strikes on the front lines. The system is trained to estimate a strike’s time, location, intensity, and the type of drone Russia might use. It analyzes past combat data, weather conditions, and battlefield conditions to assess how Russian troops may use drones with “high probability.”
The ministry said the tool has already been validated using real-world datasets and refined for integration into the Armed Forces of Ukraine’s situational awareness systems. That makes the key takeaway practical: Ukraine wants AI not just for analysis, but for faster battlefield decision-making. Business Insider reported that NATO’s Allied Command Transformation and the Joint Analysis, Training and Education Center did not immediately respond to requests for comment sent outside regular business hours.
Model No. 13 was developed by Ukraine’s armed forces and NATO’s Allied Command Transformation, with support from the Joint Analysis, Training and Education Center. The article says JATEC was created in late 2024 to help the alliance innovate based on lessons from the war. Ukraine’s defense ministry also said another jointly created AI model, No. 32, is being built to plan artillery deployments, though Ukrainian troops are still testing a prototype.
Model No. 13 is likely to run on Ukraine’s DELTA battlefield management system, according to the report. DELTA combines intelligence from drones, cameras, and battlefield reports to give commanders a frontline overview on tablets or phones. The system already uses an AI module called Vezha that Ukraine says can detect and flag Russian equipment in seconds using satellite imagery, drone camera feeds, and radio signals. Ukraine’s defense ministry has said DELTA reached over 200,000 users in November.
Carbon-X lets researchers analyze and generate DNA sequences using plain language, Hugging Face says.
GUR said 28 of 37 foreign components found in Russia’s Kometa systems were made by US firms.

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Mustafa Suleyman said Microsoft’s MAI-Base-2 beat an OpenAI base model on certain pre-training metrics using less compute.