Technology

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

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The excellent isometric RPG Underrail is back

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IT gigantite v’zrazhdat iadrenata energetika

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A new robotic surgery procedure was tested at the University of...

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MediaTek: First information about the next high-end chip

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Nvidia AI Blueprint allows developers to easily build automated agents that...

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ByteDance seems to be circumventing US restrictions in order to buy...

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I found an AirTag wallet alternative that is more functional than...

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Apple AirPods Pro 3 monitor heart rate and bring health functions

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And Androids will soon be able to use Apple AirDrop?

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Travelling soon? Apple AirTags

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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...