We know how microgravity impacts the brain thanks to astronauts on the ISS, but what about life on the Moon or Mars? Future explorers will also face hypoxia—low oxygen levels—which could affect their brain function and decision-making.
A team of students is tackling this challenge by conducting zero-gravity flight experiments to study how the brain responds to both microgravity and hypoxia. Their research could help improve astronaut safety for future lunar and Martian missions, ensuring they can explore safely beyond their spacecraft.
Could this be a key step in preparing humans for deep space exploration? Let us know your thoughts in the comments!
📹 ESA – European Space Agency 📸 ESA – European Space Agency
A growing number of classrooms in China are equipped with artificial-intelligence cameras and brain-wave trackers. While many parents and teachers see them as tools to improve grades, they’ve become some children’s worst nightmare.
SCIENTIFIC NOTES:
* The relationship between information and energy comes from Landauer’s Principle, which connects the erasure of information and energy. But, more generally changes in information (e.g. recording information) are related to changes in energy. I will talk more about this in a future episode about the physics of memory, and why you will forget everything you ever knew! https://en.wikipedia.org/wiki/Landauer%27s_principle
* The numbers calculated in this video give a lower limit on the energy to record a particular amount of information, but to create a more permanent storage of information would require more energy.
* Retina display resolution, as it’s name implies, is similar to the eye’s resolution.
Deep learning and Neural Networks are probably one of the hottest tech topics right now. Large corporations and young startups alike are all gold-rushing this state of the art field. If you think big data is important, then you should care about deep learning. Deep Learning (DL) and Neural Network (NN) is currently driving some of the most ingenious inventions this century. Their incredible ability to learn from data and the environment makes them the first choice for machine learning scientists.
Deep Learning and Neural Network lies in the heart of products such as self-driving cars, image recognition software, recommender systems and the list goes on. Evidently, being a powerful algorithm, it is highly adaptive to various data types as well.
People think neural network is an extremely difficult topic to learn. Therefore, either some of them don’t use it, or the ones who use it, use it as a black box. Is there any point in doing something without knowing how is it done? NO! That’s why you’ve’ come to right place at Augmented Startups to Learn about Artificial Neural Networks, so sit back relax and see how deep the rabbit hole goes.
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When you mix red and green, what do you get? White light is all of the colors, right? So, how do computer screens show you every wavelength of light? Or do they?
