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Can Le Chat, a mobile app from French AI startup Mistral,...

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This Week in AI

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DeepSeek R1 and OpenAI Deep Research have redefined AI. RAG, distillation...

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Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

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Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning...

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Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large...

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A Step-by-Step Coding Implementation of an Agent2Agent Framework for Collaborative and...

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Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. Even minor errors in modeling these systems can rapidly grow, which limits the effectiveness of many scientific machine learning (SciML) approaches. Traditional forecasting methods rely on models trained on specific...