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Capital One pushes data tokenisation

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Allstate accused of paying app makers for driver information in secret

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Nvidia data center customers are delaying Blackwell chip orders because of...

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NVIDIA, Oracle and other US AI chip manufacturers oppose new US...

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OpenAI’s agentic age begins: ChatGPT Tasks provides job scheduling, reminders, and...

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ChatGPT now handles reminders and to-dos.

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Samsung teases Bixby AI makeover

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Google tests simpler Circle to Search

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Google Photos removing the ‘Memories tab’ on Android

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Meta accused of using pirated torrents to train its AI

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Meta AI’s Llama Language Model modded to run in old Xbox...

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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,...