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Sony reportedly cancelling Xperia 1 VII Pre-orders without Notice

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

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Fueling seamless AI on a large scale

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Microsoft Discovery: How AI Agents Are Accelerating Scientific Discoveries

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AI-Powered Smartglasses Assist the Visually Impaired

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The future of engineering belongs to those who build with AI,...

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Nvidia scores its first DOE win since 2022 with Doudna supercomputer

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Dell, Nvidia and Department of Energy team up on “Doudna”, a...

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Anki Vector Robot gets an OpenAI ChatGPT Upgrade

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The Download: sycophantic AI Hype Index and LLMs

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This benchmark used Reddit’s AITA to test how much AI models...

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Darwin Gödel Machine: A Self-Improving AI Agent That Evolves Code Using...

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A Comprehensive Coding Tutorial for Advanced SerpAPI Integration with Google Gemini-1.5-Flash...

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Meta AI’s new smart glasses experiment can see what you do...

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Google claims Gemini 2.5 Pro Preview beats DeepSeek R1 Grok 3...

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Darwin Gödel Machine: A Self-Improving AI Agent That Evolves Code Using...

Introduction: The Limits of Traditional AI Systems Conventional artificial intelligence systems are limited by their static architectures. These models operate within fixed, human-engineered frameworks and cannot autonomously improve after deployment. In contrast, human scientific progress is iterative and cumulative—each advancement builds upon prior insights. Taking inspiration from this model of...