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Capital One pushes data tokenisation

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GenAI is a data-overloaded system, so companies need to focus on...

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What Africa needs do to become a major AI Player

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Ring-Based Mid Air Gesture Typing Using Deep Learning WordPrediction

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Nobel Prize in Physics 2024: The pioneers of deep learning and...

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AI Briefing: Index Exchange and Cognitiv to integrate generative AI for...

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Accelerating AI Innovation through Application Modernization

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BYD reports that it has set up a new team to...

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The next generation of neural network could be embedded in hardware

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The Washington Post has a AI newsboy who can answer all...

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SearchGPT is now available as a shortcut in ChatGPT on iOS

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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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Anthropic

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,...