A neural network discovered Copernicus’ heliocentricity on its own
Can neural networks help scientists discover laws about more complex phenomena, like quantum mechanics?
- Scientists trained a neural network to predict the movements of Mars and the Sun.
- In the process, the network generated formulae that place the Sun at the center of our solar system.
- The case suggests that machine-learning techniques could help reveal new laws of physics.
A neural network was able to rediscover one of the most important paradigm shifts in scientific history: Earth and other planets revolve around the Sun. The accomplishment suggests machine-learning techniques could someday help to reveal new laws of physics, maybe even within the complex realm of quantum mechanics.
The results are set to appear in the journal Physical Review Letters, according to Nature.
The neural network — a machine-learning algorithm called SciNet — was shown measurements of how the Sun and Mars appear from Earth against the fixed-star background of the night sky. SciNet's task, assigned by a team of scientists at the Swiss Federal Institute of Technology, was to predict where the Sun and Mars would be at future points in time.
In the process, SciNet generated formulas that place the Sun at the center of our solar system. Remarkably, SciNet accomplished this in a way similar to how astronomer Nicolaus Copernicus discovered heliocentricity.
"In the 16th century, Copernicus measured the angles between a distant fixed star and several planets and celestial bodies and hypothesized that the Sun, and not the Earth, is in the centre of our solar system and that the planets move around the Sun on simple orbits," the team wrote in a paper published on the preprint repository arXiv. "This explains the complicated orbits as seen from Earth."
The team "encouraged" SciNet to come up with ways to predict the movements of the Sun and Mars in the simplest way possible. To do that, SciNet passes information back and forth between two sub-networks. One network "learns" from data, and the other uses that knowledge to make predictions and test their accuracy. These networks are connected to each other by only a few links, so when they communicate, information is compressed, resulting in "simpler" representations.
Renner et al.
SciNet decided that the simplest way to predict the movements of celestial bodies was through a model that places the Sun at the center of our solar system. So, the neural network didn't necessarily "discover" heliocentricity, but rather described it through mathematics that humans can interpret.
Building humanlike AI
In 2017, data scientist Brenden Lake and his colleagues wrote a paper describing what it will take to build machines that learn and think like people. One benchmark for doing so would be artificial intelligence that can describe the physical world. At the time, they said it "remains to be seen" whether "deep networks trained on physics-related data" could discover laws of physics on their own. In a narrow sense, SciNet passes this test.
"To summarize, the main aim of this work is to show that neural networks can be used to discover physical concepts without any prior knowledge," the SciNet team wrote. "To achieve this goal, we introduced a neural network architecture that models the physical reasoning process. The examples illustrate that this architecture allows us to extract physically relevant data from experiments, without imposing further knowledge about physics or mathematics."
Researchers documented the most common negative side effects of smoking weed, and who might be most susceptible.
- A team of researchers identified a total of 26 possible adverse reactions to cannabis use.
- Coughing fits, anxiety, and paranoia are among the top three most common adverse reactions to smoking weed.
- It was the people who smoke on a less frequent basis who were more likely to have had the bad experiences.
The most common adverse effects of pot<p>As it turns out, coughing fits are among the top three most common adverse reactions to cannabis use, along with anxiety and paranoia, according to a new study published in the <em>Journal</em><a href="https://jcannabisresearch.biomedcentral.com/articles/10.1186/s42238-019-0013-x" target="_blank"><em> of Cannabis Research</em></a>. </p><p>Now that weed is legal in the state, a team of researchers at Washington State University sought to document potential negative reactions to cannabis in order to paint a detailed picture of the effects of smoking weed for newbies. The authors surveyed more than 1,500 college students on the specific type and frequency of adverse reactions they had experienced while using pot. Additionally, the students in the study were surveyed about their demographics, personality traits, reasons for using cannabis and their use patterns. </p><p>Despite marijuana's <a href="https://bigthink.com/sex-relationships/marijuana-sex" target="_self">numerous benefits</a>, the team identified a total of <a href="https://jcannabisresearch.biomedcentral.com/articles/10.1186/s42238-019-0013-x/tables/2" target="_blank">26 possible adverse reactions to</a> the drug. More than half of the study participants reported having coughing fits along with anxiety and/or paranoia while using cannabis. The most frequently occuring of these were the coughing fits, along with chest/lung discomfort and body humming. A subset of the study group reported these reactions occurring around 30–40% of the time they were using pot. On the flip side, the three <em>least</em>-commonly reported reactions to cannabis use were fainting, visual hallucinations and cold sweats. </p><p>"There's been surprisingly little research on the prevalence or frequency of various adverse reactions to cannabis and almost no research trying to predict who is more likely to experience these types of adverse reactions," <a href="https://news.wsu.edu/2020/03/30/new-research-sheds-light-potentially-negative-effects-cannabis/" target="_blank">said Carrie Cuttler</a>, assistant professor of psychology and an author on the paper, according to WSU News. "With the legalization of cannabis in Washington and 10 other states, we thought it would be important to document some of this information so that more novice users would have a better sense of what types of adverse reactions they may experience if they use cannabis."</p><p>The most distressing of the 26 negative reactions were panic attacks, fainting, and vomiting. Yet, the survey data suggested that cannabis users generally do not find even acute adverse reactions to cannabis to be severely distressing.</p>
What causes a bad reaction?<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjkwOTEwOC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyNTQ5MDQ2Mn0.S2Pkbh3VAgB4Gk5tkavamMv0_4t76dg65yGWpCHG17U/img.jpg?width=1245&coordinates=0%2C1872%2C0%2C1252&height=700" id="dee45" class="rm-shortcode" data-rm-shortcode-id="df6e30ecae156ba0012f4773a374800c" data-rm-shortcode-name="rebelmouse-image" />
Tea and coffee have known health benefits, but now we know they can work together.
Credit: NIKOLAY OSMACHKO from Pexels
- A new study finds drinking large amounts of coffee and tea lowers the risk of death in some adults by nearly two thirds.
- This is the first study to suggest the known benefits of these drinks are additive.
- The findings are great, but only directly apply to certain people.
Maybe you should enjoy this article with a cup of coffee or tea.<p> The <a href="https://drc.bmj.com/content/8/1/e001252?T=AU" target="_blank" rel="noopener noreferrer">study</a> involved 4,923 type 2 diabetics living in Japan. The average participant was 66 years old. All of the participants were taken from the rolls of the Fukuoka Diabetes Registry, a study geared at learning about the effects of new treatments and lifestyle changes on the health of diabetics. <br> <br> The participants filled out questionnaires concerning their health, diet, habits, and other factors. Among the questions were two focused on determining how much green tea or coffee, if any, the participants consumed over the course of a week. The health of the participants was recorded for five years. During this time, 309 of the test subjects died from a variety of causes. <br> <br> Subjects who drank more than one cup of tea or coffee per day demonstrated lower odds of dying than those who had none. Those who consumed the most tea and coffee, more than four and two cups a day, respectively, enjoyed the most significant reductions in their risk of death. This level of consumption was associated with a 40 percent lower risk of <a href="https://www.sciencedaily.com/releases/2020/10/201020190129.htm" target="_blank" rel="noopener noreferrer">death</a>. </p><p>Most interestingly, the effects of drinking tea and coffee appear to combine to reduce risk even further. Those who reported drinking two or three cups of tea a day and two or more cups of coffee were 51 percent less likely to die during the study, while those who drank a whopping four or more cups of tea and two or more cups of coffee had a 63 percent lower risk of <a href="https://www.medicalnewstoday.com/articles/diabetes-coffee-and-green-tea-might-reduce-death-risk" target="_blank" rel="noopener noreferrer">death</a>. </p>
So, should I start swimming in a vat of coffee and green tea?<iframe width="730" height="430" src="https://www.youtube.com/embed/LY0E-JQxeoY" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe><p> Not quite. </p><p> The primary takeaway from this study is that Japanese adults with type 2 diabetes who drink a lot of green tea and/or coffee die less often than similar people who do not. If this effect is caused by something in the drink, lifestyle choices people who drink that much tea all make, or something else remains unknown. The finding must be considered an association at this point. <br> <br> The eye-popping reductions in mortality rates are compared to the risk of death of others in the study. The people who died reported drinking less tea and coffee than those who lived. Unless you have several demographic and conditional similarities to the subjects of this study, you probably won't suddenly be at a two-thirds lower risk of death than your peers because you drink green tea. </p><p> Like all studies that depend on self-reporting, it is also possible that people misstated how much they consumed any one item. The study also did not look into other factors like socioeconomic status or education level, also known to impact death rates and potentially linked to coffee and tea consumption. </p><p> However, it is yet another study in the pile that suggests that <a href="https://www.healthline.com/nutrition/top-13-evidence-based-health-benefits-of-coffee" target="_blank" rel="noopener noreferrer">coffee</a> and <a href="https://www.healthline.com/nutrition/top-10-evidence-based-health-benefits-of-green-tea" target="_blank" rel="noopener noreferrer">green tea</a> are good for you. That much is increasingly <a href="https://www.health.harvard.edu/press_releases/health-benefits-linked-to-drinking-tea" target="_blank" rel="noopener noreferrer">agreed</a><a href="https://www.rush.edu/health-wellness/discover-health/health-benefits-coffee" target="_blank" rel="noopener noreferrer"> upon</a>. This study also suggests the benefits are additive, which is a new development.</p><p><br> So, while it isn't time to start the IV drip of green tea, a cup or two probably won't <a href="https://www.webmd.com/diabetes/news/20201022/coffee-green-tea-might-extend-life-for-folks-with-type-2-diabetes" target="_blank" rel="noopener noreferrer">hurt</a>. </p>
But most city dwellers weren't seeing the science — they were seeing something out of Blade Runner.
On Sept. 9, many West Coast residents looked out their windows and witnessed a post-apocalyptic landscape: silhouetted cars, buildings and people bathed in an overpowering orange light that looked like a jacked-up sunset.