planet


Using AI to predict Earth's future

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A recent "deep learning" algorithm--despite having no innate knowledge of solar physics--could provide more accurate predictions of how the sun affects our planet than current models based on scientific understanding. For decades, people have tried to predict the impact of the sun on our planet's atmosphere. Up until now, algorithms based on solar physics have been used to predict the shifting density of Earth's atmosphere. But with so many variables affecting the complex and dynamic layers of gases around Earth, artificial intelligence (AI) could provide real improvements in this area because of its ability to handle vastly more complex data, with important implications for how we fly missions in Earth orbit. The conditions in space vary depending on the mood swings of the sun, known as "space weather."


Could Artificial Intelligence Solve The Problems Einstein Couldn't?

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Although Einstein himself made many advances in physics, from special and... [ ] general relativity to the photoelectric effect and statistical mechanics, there were many problems he couldn't solve during his life. How much better could AI have done? At the dawn of the 20th century, there were a number of crises in physics. Radiating objects like stars emitted a finite, well-defined amount of energy at every wavelength, defying the best predictions of the day. Newton's laws of motion broke down and failed when objects approached the speed of light.


How will robotic exploration of the universe evolve?

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Robotic emissaries explore the universe for us. Whether traveling to our moon, to other planets, or beyond the Solar System, robots are sometimes much more useful than humans. What are future trends in robotic space exploration? To learn more about this topic, we spoke to Andrew Jones, a doctoral candidate at North Dakota State University who specializes in it. What do you think next steps are in using robots to explore the universe?


#Feature: Ice: The Ninth Novel In The Pseudoverse Series By CG Blade!

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Hey Everyone!! My friend, Karen Mossman, would like to tell you about a book she's really excited about. Humanity is living a dream existence side-by-side their new artificial intelligence counterparts, Robokopias, which look, act, and talk like anyone or anybody you choose. Only the Pseudosynths remember the time shift to set the planet on the correct course in 2075 and the warning that went along with it before the Robokopias were produced. Why is this warning so important? In Ice, if you or one of your family members die, it is your choice is to have your thoughts and memories transferred into one of these'Robokopias' so you can continue to live.


AI Copernicus 'discovers' that Earth orbits the Sun

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Astronomers took centuries to figure it out. But now, a machine-learning algorithm inspired by the brain has worked out that it should place the Sun at the centre of the Solar System, based on how movements of the Sun and Mars appear from Earth. The feat is one the first tests of a technique that researchers hope they can use to discover new laws of physics, and perhaps to reformulate quantum mechanics, by finding patterns in large data sets. The results are due to appear in Physical Review Letters 1. Physicist Renato Renner at the Swiss Federal Institute of Technology (ETH) in Zurich and his collaborators wanted to design an algorithm that could distill large data sets down into a few basic formulae, mimicking the way that physicists come up with concise equations like E mc 2. To do this, the researchers had to design a new type of neural network, a machine-learning system inspired by the structure of the brain. Conventional neural networks learn to recognize objects -- such as images or sounds -- by training on huge data sets.


P-value Explained Simply for Data Scientists

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Recently, I got asked about how to explain p-values in simple terms to a layperson. I found that it is hard to do that. P-Values are always a headache to explain even to someone who knows about them let alone someone who doesn't understand statistics. I went to Wikipedia to find something and here is the definition: In statistical hypothesis testing, the p-value or probability value is, for a given statistical model, the probability that, when the null hypothesis is true, the statistical summary (such as the sample mean difference between two groups) would be equal to, or more extreme than, the actual observed results. And my first thought was that might be they have written it like this so that nobody could understand it.


How Machine Learning and AI Can Help in the Fight Against Climate Change

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Climate change has emerged as the biggest threat to humanity, with devastating consequences such as extreme weather events, climate migration, and a sharp decline in biodiversity. While the brunt of climate action is shouldered by green parties and public activists like the young Greta Thunberg, in recent years many industries have stepped up innovation to try and do their bit. The informatics industry in particular has been flexing its R&D muscle to propose bleeding-edge solutions. A recent paper published by a group of high-profile AI experts and IT professionals explores the potential that can be found "at the nexus of climate change and machine learning". Headed by David Rolnick, a Postdoctoral Research Fellow at the University of Pennsylvania, the paper puts a spotlight on "high-impact opportunities for real-world change" present in such ML fields as artificial intelligence, computer vision, unsupervised learning, and more.


How Machine Learning and AI Can Help in the Fight Against Climate Change

#artificialintelligence

Climate change has emerged as the biggest threat to humanity, with devastating consequences such as extreme weather events, climate migration, and a sharp decline in biodiversity. While the brunt of climate action is shouldered by green parties and public activists like the young Greta Thunberg, in recent years many industries have stepped up innovation to try and do their bit. The informatics industry in particular has been flexing its R&D muscle to propose bleeding-edge solutions. A recent paper published by a group of high-profile AI experts and IT professionals explores the potential that can be found "at the nexus of climate change and machine learning". Headed by David Rolnick, a Postdoctoral Research Fellow at the University of Pennsylvania, the paper puts a spotlight on "high-impact opportunities for real-world change" present in such ML fields as artificial intelligence, computer vision, unsupervised learning, and more.


AI Copernicus 'discovers' that Earth orbits the Sun

#artificialintelligence

Physicists have designed artificial intelligence that thinks like the astronomer Nicolaus Copernicus by realizing the Sun must be at the centre of the Solar System.Credit: NASA/JPL/SPL Astronomers took centuries to figure it out. But now, a machine-learning algorithm inspired by the brain has worked out that it should place the Sun at the centre of the Solar System, based on how movements of the Sun and Mars appear from Earth. The feat is one the first tests of a technique that researchers hope they can use to discover new laws of physics, and perhaps to reformulate quantum mechanics, by finding patterns in large data sets. The results are due to appear in Physical Review Letters1. Physicist Renato Renner at the Swiss Federal Institute of Technology (ETH) in Zurich and his collaborators wanted to design an algorithm that could distill large data sets down into a few basic formulae, mimicking the way that physicists come up with concise equations like E mc2.


How AI Really a Threat to Traditional Jobs?

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Artificial Intelligence (AI) has grown into the most well-known buzzword in the IT sector now. It has boosted the confidence of technology pundits but also instilled fear in the hearts of those salaried professionals and small business owners. Some companies think that AI technologies are arriving following their jobs and businesses. But what is the floor reality, actually? Whether you're in favor of this widespread implementation of AI or not, the tech is here to say.