Technology

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

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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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OpenAI presents a new blueprint for AI regulation that is its...

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Sa2VA: A Unified AI Framework for Dense Grounded Video and Image...

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This AI Paper Introduces Toto: Autoregressive Video Models for Unified Image...

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Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A...

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Meta AI Introduces CLUE (Constitutional MLLM JUdgE): An AI Framework Designed...

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Salesforce AI Introduces TACO: A New Family of Multimodal Action Models...

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Meet Search-o1: An AI Framework that Integrates the Agentic Search Workflow...

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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...