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Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights...

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Nvidia brings GenAI into the physical world with Cosmos.

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OpenAI is having a rough week–it could be the start of...

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Sam Altman’s Sister is suing OpenAI CEO for sexual abuse

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HONOR Magic7 Lite

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Asus is developing the ROG Flow Z13 to make more sense...

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Nvidia CEO: PC gaming will never be rendered entirely by AI

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Nvidia’s AI Snake is feeding itself. Announces GeForce GTX 5090 GPU....

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Navigating AI M&A: A Comprehensive Guide to Due Diligence in the...

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LG and Samsung will add Microsoft Copilot to their new TVs.

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This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation...

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Meet NovelSeek: A Unified Multi-Agent Framework for Autonomous Scientific Research from...

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Fueling seamless AI on a large scale

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All-in-1 AI Platform 1minAI is Now Almost Free. Get Lifetime Access...

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This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation...

Large language models (LLMs), with billions of parameters, power many AI-driven services across industries. However, their massive size and complex architectures make their computational costs during inference a significant challenge. As these models evolve, optimizing the balance between computational efficiency and output quality has become a crucial area of...