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The Download: AI Headphone Translation, and the Link between Microbes and...

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Alibaba Cloud’s Tongyi Lingma Artificial Intelligence Programmer is fully online

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Samsung Galaxy S25 could be subject to an unwelcome increase in...

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News Roundup: Meta’s Content Shakeup, Nvidia Gaming Revolution, and more

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Nvidia CEO teases consumer CPU plans following Project Digits, GB10 unveiling...

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Technology

Biden said to weigh global limits on AI exports in 11th-hour...

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Technology

A New York legislator is trying to salvage the California AI...

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Microsoft’s new rStar-Math technique upgrades small models to outperform OpenAI’s o1-preview...

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Diffbot’s AI doesn’t guess

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Meet China’s top 6 AI unicorns: Who are leading the AI...

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Microsoft releases powerful Phi-4 model on Hugging Face as a fully...

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ByteDance Open-Sources DeerFlow: A Modular Multi-Agent Framework for Deep Research Automation

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Education

Microsoft Researchers Introduce ARTIST: A Reinforcement Learning Framework That Equips LLMs...

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ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

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Understanding the Dual Nature of OpenAI

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ByteDance Open-Sources DeerFlow: A Modular Multi-Agent Framework for Deep Research Automation

ByteDance has released DeerFlow, an open-source multi-agent framework designed to enhance complex research workflows by integrating the capabilities of large language models (LLMs) with domain-specific tools. Built on top of LangChain and LangGraph, DeerFlow offers a structured, extensible platform for automating sophisticated research tasks—from information retrieval to multimodal content...