Technology

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

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OpenAI may introduce weekly and lifetime plans

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Microsoft and OpenAI could be renegotiating the partnership

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ChatGPT now allows you to download deep research as PDF

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Tencent Released PrimitiveAnything: A New AI Framework That Reconstructs 3D Shapes...

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LightOn AI Released GTE-ModernColBERT-v1: A Scalable Token-Level Semantic Search Model for...

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This AI Paper Introduces Effective State-Size (ESS): A Metric to Quantify...

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Technology

Dream 7B: How Diffusion-Based Reasoning Models Are Reshaping AI

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Embracing AI: Transforming Traditional Business Models

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FDA, OpenAI discussing use of AI for drug evaluation

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Google is making its AI models cheaper for third-party developers

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

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Education

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

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Natural Language Processing

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...