“"OpenAI不要！ローカルLLM（Ollama）で完全無料運用"”

“Recently, leveraging the complementary characteristics of SAR and MSI data through a multimodal approach has emerged as a promising strategy for advancing water extent mapping using deep learning models.”

“The paper's key finding is that existing SOTA 3D semantic segmentation models (FPT, PTv3, OA-CNNs) show significant limitations when applied to the created post-disaster dataset.”

“The method reaches detection thresholds approximately three times lower than baseline approaches, providing a path towards automated, global-scale monitoring of surface changes.”

“Thankfully, according to reports, TSMC's factories are all intact, saving the world from yet another spike in chip prices.”

“The LSTM network achieves the lowest prediction error.”

“The 2011 meltdown at Fukushima's nuclear plant "was the world's worst nuclear disaster since Chernobyl in 1986,"”

“Including climate-related variables improves predictive accuracy across all models, with extremely randomized trees achieving the lowest root mean squared error (RMSE).”

“Climate news hasn’t been great in 2025. Global greenhouse-gas emissions hit record highs (again).”

“Rapid and efficient response to disaster events is essential for climate resilience and sustainability.”

“Our bi-objective approach reduces aid distribution inequity by 34% without compromising efficiency.”

“The article likely discusses the specifics of the co-design, including the architecture, algorithms, and experimental results. It would also likely address the trade-offs between decentralization, performance, and security.”

“The research likely explores optimized allocation strategies for outages.”

“Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach”

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“GeoSense-AI infers locations from crisis microblogs.”

“The article is based on a dataset available on ArXiv, suggesting it's a research paper.”

“The research focuses on neural emulation of gravity-driven geohazard runout.”

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“Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events.”

“The research focuses on road damage assessment in disaster scenarios using small uncrewed aerial systems.”

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“The research leverages multimodal vision-language reasoning.”

“The study focuses on evaluating Vision-Language Models for 3D geospatial reasoning from aerial imagery.”

“The article would likely contain data and findings from the research, potentially including statistics on crop yields, food prices, and the prevalence of food insecurity before and after specific disaster events.”

“The research leverages multimodal geospatial foundation models.”

“The research focuses on enhancing the accuracy of geo-localization for crowdsourced flood imagery.”

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“Will Menaker from Chapo Trap House joins us to discuss right-wing conspiracy theories about the weather, the climate, and whether we’re living on a discworld.”

“Idk, we’re all starting to get that familiar icky feeling in the pits of our stomachs again about November, aren’t we, is it happening again?”

“Upgrading early warning systems to make accurate and timely information accessible to these populations can save thousands of lives per year.”

“The hosts discuss news stories from the previous week.”

“The article likely highlights the effectiveness of LoRA in fine-tuning LLMs for specific tasks.”

“The boys look at the Wagner Group failed(?) coup(??) of Russia(???) over the weekend(????).”

“Further details would be needed to provide a specific quote, but the article likely highlights the benefits of using machine learning for these purposes.”

“The podcast episode focuses on the train derailment and its impact.”

“The episode discusses the equal parts terrifying and stupid possibility that Trump or an associate actually tried to sell nuclear secrets to the Saudis.”

“The article doesn't contain a direct quote, but it discusses the development of machine learning models and surrounding infrastructure.”

“We also dig into some of the technical challenges that he’s encountered in trying to scale the human-in-the-loop side of machine learning since joining Figure Eight, including identifying more efficient approaches to image annotation as well as the use of zero shot machine learning to minimize training data requirements.”