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Capital One pushes data tokenisation

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Agent-Based Debugging Gets a Cost-Effective Alternative: Salesforce AI Presents SWERank for...

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A Step-by-Step Guide to Build a Fast Semantic Search and RAG...

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Meta AI Introduces CATransformers: A Carbon-Aware Machine Learning Framework to Co-Optimize...

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Rime Introduces Arcana and Rimecaster (Open Source): Practical Voice AI Tools...

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Google DeepMind Introduces AlphaEvolve: A Gemini-Powered Coding AI Agent for Algorithm...

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PwC Releases Executive Guide on Agentic AI: A Strategic Blueprint for...

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FDA AI deployment: Innovation vs oversight in drug regulation

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Saudi Arabia moves to build its AI future with HUMAIN and...

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US slams brakes on AI Diffusion Rule, hardens chip export curbs

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AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms

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Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

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Step-by-Step Guide to Build a Customizable Multi-Tool AI Agent with LangGraph...

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This retractable USB-C cable for fast charging is a must buy...

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Microsoft now tests AI-generated text for Windows Notepad

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Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization has not been fully explored. While some recent efforts have used LLMs to enhance performance in languages like C++ and Python, the broader application of LLMs to optimize code, especially in low-level programming contexts,...