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Capital One pushes data tokenisation

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OpenAI and Softbank have launched a $500 billion AI Data Center...

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What is Agentic AI and how might it change the way...

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Capcom tests generative AI to manage ‘tens of thousands’ of ideas

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Apple Intelligence turned on by default in upcoming macOS Sequoia 15.3,...

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OpenAI launches Operator –

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Anthropic

eBay sellers are selling used phones with TikTok preinstalled

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NASA moves quickly to end DEI programs and asks employees to...

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Apple must face a lawsuit over an alleged policy that underpays...

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Reddit will not interfere with users revolting X by subreddit bannings

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Scale AI’s Alexander Wang has published a letter urging Trump to...

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Education

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,...