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Sparkle’s ‘Thundermage’ concept pitches Thunderbolt as a GPU port

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Alexa’s big Amazon AI revamp: 8 burning questions answered

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The Artificial Intelligence Revolution: From ChatGPT to Google, Meta and Anthropic...

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Character.ai lets users role play with chatbots based on school shooters

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Character.AI will no longer allow its chatbots to romance teenagers

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Character.AI takes teen safety seriously after bots are alleged to have...

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Stable Diffusion 3.5 is now available on Amazon Bedrock. What does...

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Hugging Face shows that test-time scaling can help small language models...

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Hugging Face’s SmolVLM can reduce AI costs by a large margin...

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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...