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📰 𝗜𝗡𝗩𝗔-𝗔𝗜-𝗛𝗘𝗥𝗔𝗟𝗗 📰 𝗔𝗜 𝗡𝗘𝗪𝗦 1. 🧪 𝗚𝗼𝗼𝗴𝗹𝗲 𝗕𝗿𝗶𝗻𝗴𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗜𝗻𝘁𝗼 𝘁𝗵𝗲 𝗪𝗲𝘁 𝗟𝗮𝗯 𝘁𝗼 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗕𝗶𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 📰 𝗪𝗛𝗔𝗧 𝗛𝗔𝗣𝗣𝗘𝗡𝗘𝗗 !! Google Research outlined three projects aimed at moving AI agents from digital hypotheses into real biological experiments. Its VERID framework maintains a live three-dimensional representation of a laboratory workcell, tracking robotic geometry, reagent identity, well volumes and available pipette tips. It can simulate protocols before execution and block commands that are physically impossible or unsafe. In separate prototypes, AI agents designed, tested and refined molecular candidates using measured experimental results. Researchers also reported improved confirmed binding rates across successive experimental rounds. The work remains experimental, but demonstrates a closed loop connecting AI planning, robotics and laboratory feedback. 🧠 𝗪𝗛𝗔𝗧 𝗖𝗔𝗡 𝗜𝗧 𝗗...

𝗜𝗡𝗩𝗔-𝗔𝗜-𝗛𝗘𝗥𝗔𝗟𝗗 📰 𝗔𝗜 𝗡𝗘𝗪𝗦 1. 🇮🇳 𝗡𝗩𝗜𝗗𝗜𝗔 𝗮𝗻𝗱 𝗜𝗜𝗧 𝗠𝗮𝗱𝗿𝗮𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝗮 𝟮.𝟴-𝗧𝗿𝗶𝗹𝗹𝗶𝗼𝗻-𝗧𝗼𝗸𝗲𝗻 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗳𝗼𝗿 𝗜𝗻𝗱𝗶𝗮𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀  📰 𝗪𝗛𝗔𝗧 𝗛𝗔𝗣𝗣𝗘𝗡𝗘𝗗 !! NVIDIA, working with IIT Madras and AI4Bharat, introduced plans for a synthetic pretraining corpus spanning 22 Indian languages, totalling approximately 2.8 trillion tokens. The accompanying open generation recipe documents a GPU-accelerated workflow for translating curated English material into Indian languages, assessing quality and repairing weaker translations. The corpus includes native-script data for all 22 languages and romanised versions for 12. The full training dataset is described as forthcoming, so it should not yet be represented as a completed public download. The effort addresses a key bottleneck for Indian-language AI: insufficient high-quality training data. 🧠 𝗪𝗛𝗔𝗧 𝗖𝗔𝗡 𝗜𝗧 𝗗𝗢? The pipeline combines translation, automated quali...

  🤖 𝗜𝗡𝗩𝗔-𝗔𝗜-𝗛𝗘𝗥𝗔𝗟𝗗 📰 𝗔𝗜 𝗡𝗘𝗪𝗦 1. 🔬 𝗚𝗼𝗼𝗴𝗹𝗲 𝗢𝗽𝗲𝗻𝘀 𝗗𝗲𝗲𝗽 𝗥𝗲𝘃𝗶𝗲𝘄 𝘁𝗼 𝘁𝗵𝗲 𝗣𝘂𝗯𝗹𝗶𝗰 𝗳𝗼𝗿 𝗩𝗲𝗿𝗶𝗳𝘆𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 📰 𝗪𝗛𝗔𝗧 𝗛𝗔𝗣𝗣𝗘𝗡𝗘𝗗 !! Google Research has opened Deep Review to the public, expanding a system first used to review technical and scientific submissions into a tool for checking complex documents such as Google Docs, presentations, research manuscripts and legal agreements. The system has already been used across more than 𝟭𝟲,𝟬𝟬𝟬 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 connected with major computer-science conferences. Rather than merely summarising a document, it aims to test claims against evidence, inspect logical consistency and flag passages that need closer verification. The release responds to a growing review bottleneck as AI-generated technical writing becomes more common. Human authors remain responsible for final judgements. 🧠 𝗪𝗛𝗔𝗧 𝗖𝗔𝗡 𝗜𝗧 𝗗𝗢? Deep Review analyses lengthy...