Technology

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

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Anthropic

How Thomson Reuters, Anthropic and other companies built an AI that...

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Anthropic

Galaxy S25 and S25 Plus Reviews: Just enough AI to not...

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News

Nvidia’s answer for AMD Fluid Motion Frames is compatible with all...

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News

The Download: DeepSeek’s new research agent and OpenAI’s new research agent.

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OpenAI doubles down on Asia, partners with Kakao after its big...

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OpenAI’s ChatGPT agent will do your research for you. Access it...

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Anthropic

Windows 11 has the highest market share, as Windows 10 is...

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Anthropic

Apple Watch owners can get up to $50 if a $20...

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News

Edward Snowden, a whistleblower who has been exposing Nvidia for 25...

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DeepSeek AI costs may have exceeded $1.6 billion, with 50,000 Nvidia...

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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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News

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...