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Daily Excelsior reports UK-Ukraine deal to share battlefield data for military AI
Daily Excelsior reports that the UK and Ukraine agreed to give British researchers and companies access to battlefield data from Ukraine’s Avengers AI Labs, alongside pilot projects involving perimeter sensing and low-power chips.dailyexcelsior.comInnovation
CoDrift proposes compositional action fields for offline reinforcement learning
A new arXiv preprint introduces CoDrift, a one-step generative policy framework that combines behavioral compatibility and value-seeking objectives for offline reinforcement learning. The authors report the best average rank across 73 OGBench and D4RL tasks in both offline and offline-to-online settings.arxiv.orgInnovation
Preprint proposes a Bayesian way for LLM agents to recognize when they need stronger help
A new preprint studies agents that can transfer control to a stronger language model during reasoning, combining a Bayesian stopping rule with theoretical guarantees and a limited Qwen2.5-Coder validation.arxiv.orgInnovation
PinSieve reports production gains from selective VLM serving and governed memory
A KDD 2026 workshop paper describes a deployed vision-language-model serving agent that handles unresolved content-quality cases, reporting higher review productivity, lower normalized operating cost and faster signal delivery.arxiv.orgInnovation
PuzzleKV proposes page-wise compression to reduce LLM KV-cache storage
A new arXiv paper proposes PuzzleKV, a training- and calibration-free method that independently compresses completed pages of large language model KV caches. It reports more than 96% of Full KV performance at about 60% of original storage, and more than 93% at 18.7% of original storage with quantization.arxiv.orgInnovation
A bandit framework cuts LLM calls for automated essay-scoring prompt selection
A new arXiv paper reports that a multi-armed bandit controller selected prompting strategies for LLM essay scoring with comparable accuracy to exhaustive search while reducing calls by 78.4%.arxiv.orgInnovation
KAIST researcher details AI systems linking protein prediction to drugs and materials
ChosunBiz reports that KAIST researcher Lee Sang-yeop described AI systems for predicting protein functions, identifying possible drug interactions and guiding microorganism-based production of biodegradable materials.biz.chosun.comInnovation
MIT researchers use AI to steer materials generation toward chemically stable crystals
MIT researchers report a framework called CrysVCD that constrains AI-generated material formulas before atomic structures are created, improving reported stability rates and reducing computational screening costs for targeted crystalline materials.news.mit.eduInnovation
Preprint adds frequency-domain evidence to LLM time-series anomaly detection
A new arXiv preprint proposes giving large language models compact frequency-domain evidence, alongside indexed observations, to help detect anomalies in recurring time-series patterns.arxiv.org
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