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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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What is context engineering and how can you get better at it? Let's taco bout ittttt 🧐 . . . [tech explainer ai artificial intelligence ml machine learning context engineering prompt engineering technology]
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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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I’m SO excited about all the things this machine can do… and also a little intimidated. 😂 There are so many modules and possibilities, but I’m reminding myself that I have to be a beginner before I can be good at something. So I’m going to stop overthinking it and just START. Let’s see what happens! 👀
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Before 20 | Episode 2 - This month took AI/ ML actually serious, and yesss learning, teaching others soon as the track lead for our school. Machine learning has always been the goal , lemme learn , by next year I'll be somewhere! #machinelearning #techgirl #fypp #20thbirthday #university
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