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Multiply Labs raised $75 million to automate cell therapy production. Robotic arms can handle repetitive work inside a sterile laboratory. This could make advanced cancer treatments easier to manufacture at scale. #Startup #Robotics #CancerTreatment
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YOU ASKED. WE’RE ADDING BUILDING TUTORIALS! ⚙️📚 Want to learn how to build machines in Geareo? 👀 In Early Access, you’ll be able to follow step-by-step building instructions, learn how mechanisms work, and turn simple ideas into complex machines! 🛠 Whether you're a beginner or a mechanical genius, there’s always something new to build. 🤯 📅 Coming December 10 with Early Access! #Geareo #Mechanical #BuildingGame #Sandbox #Engineering
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🎙️ Ever wondered how machine learning is revolutionizing the betting industry? In this episode of #TheFlowShow, I sit down with @joeyslevy, CEO of @betr, to dive into the exciting world of B2B product development and real-time market mechanics! 🚀 Joey shares his vision of creating micro markets and how they leverage odds feeds to enhance the betting experience. Don't miss out on this insightful conversation! 💡 Tune in to episode 211 and discover why the direct consumer opportunity is bigger t
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Self-Assembling Nanomachine the Bacterial Flagellar Motor.A bacterium builds its flagellar motor from the inside out: first the export gate and MS ring in the inner membrane, then the C ring and the export ATPase in the cytoplasm. The rod, hook and filament are pumped out one unfolded protein at a time through a channel just 2 nm wide, and fold into place at the tip. Then the 11 MotA/MotB stators lock around the rotor and the engine starts, powered by protons flowing across the membrane. The fil
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Figure retired six Figure 02 robots in the most Terminator way possible: training them to jump into a furnace. The idea came from Arnold Schwarzenegger and is inspired by the iconic Terminator 2 scene. 🎥: @figure_robot
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Here’s everything you need to know 👇 I developed a machine learning model with @Eight Sleep and we just released it today 1️⃣ What data was it built on? This model was built on the largest raw biosignal dataset ever used to train an AI, from any device, including every wearable on the market. 2.04 million hours 136,575 participants 498k sessions 122 million segments 2️⃣ What can it predict? It can predict your biological age (the age your body acts like) within 3.3 years. It also predicts heart
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