Robots are the future. See how Unisa helps students and educators #DefineTomorrow through I-SET, a community engagement project. This project helps students learn valuable skills in the fields of science, engineering and technology, so they can prepare for a world unknown through practical experience with things like robotics. | Unisa - The University of South Africa
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Coding and Robotics in South Africa - CAPS 123
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IQ (Intelligence Quotient) is a standardized score from tests measuring cognitive abilities like reasoning, problem-solving, and memory, comparing an individual's mental performance to their age group, with the average set at 100. It's a numerical representation of intellectual capability, derived from various subtests, that helps identify learning needs and guide educational or career paths, though it doesn't capture the full scope of human intelligence. Source : visualcapitalist #usa #maps #ed
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Thinkaipath on Instagram: "Robots keep breaking Rubik’s Cube records… and this one is insane 🤯 Early robots already solved the cube in under a second. But engineers kept pushing—better cameras, faster vision, stronger motors, tighter mechanics. The final clip shows the current world record from Purdue University: 🧩 0.103 seconds — faster than a human blink. At this speed, solving the cube isn’t the hard part anymore. Physics is. The cube has to be reinforced so it doesn’t shatter. Motors spin
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5 ALIVE MEDIA | Copenhagen & Cyprus Video Production on Instagram: "Behind the scenes from a new football concept shoot in Cyprus ⚽️🎥 Our Cyprus team bringing the energy, the movement, and the details together - long day, good vibes, and a lot of creative problem-solving on set. This one’s shaping up nicely. Final video coming soon - stay tuned. Big thanks for the BTS video to @alexeev.savva 🙌 #SportsVideography #Commercial #Cyprus #Copenhagen #VideoProduction"
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^⁠__⁠_⁠__⁠^shivam saini (⁠◍⁠•⁠ᴗ⁠•⁠◍⁠) on Instagram: "Comment your answer #viralreels #bsf #armylover #gd #armylife"
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Aitechwave on Instagram: "A senior AI engineer created a small vision system to count potatoes on a conveyor belt. There was no giant dataset or huge model involved. He faced a clear problem and set up a smart solution. He used Ultralytics ObjectCounter with a small YOLO11 nano model. Since there was no potato dataset available, he annotated a single frame using SAM 2 and trained the system based on that. Just one frame still works for the entire video. This serves as a good reminder that practi
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