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Capital One pushes data tokenisation

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OpenAI’s planned Abu Dhabi data center would be larger than Monaco

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ChatGPT launches Codex, a new AI tool for software development

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Education

DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across...

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Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent...

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AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a...

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Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built...

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AI in business intelligence: Caveat emptor

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Why Microsoft is cutting roles despite strong earnings

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Congress pushes GPS tracking for every exported semiconductor

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Can the US really enforce a global AI chip ban?

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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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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,...