<h2>The Singularity Is Here</h2>
Unfortunately for our new AI overlords, the crusade to take over the world has been stopped in its tracks by an unlikely hurdle: a 16-year-old&#8217;s math test.
Faced with the same level of exam that a 16-year-old in the U.K. would take, according to a <a href="https://arxiv.org/abs/1904.01557">new paper</a> by Google&#8217;s DeepMind, its cutting-edge AI flunked.
<h2>Artificial Mathlete</h2>
The algorithm was trained on the sorts of algebra, calculus, and other types of math questions that would appear on a 16-year-old&#8217;s math exam according to the U.K. national curriculum, <a href="https://arxiv.org/abs/1904.01557">according to DeepMind research</a> published online on Tuesday.
The researchers tested several types of AI and found that <a href="https://futurism.com/the-byte/deepmind-abstract-reasoning-iq">algorithms struggle</a> to translate a question as it appears on a test, full of words and symbols and functions, into the actual operations needed to solve it, according to an <a href="https://medium.com/syncedreview/deepmind-ai-flunks-high-school-math-test-2e32635c0e2d">article on Medium</a>.
<h2>No Shaming</h2>
It turns out, according to the research, that even a simple math problem involves a great deal of brainpower, as people learn to automatically learn to make sense of mathematical operations, memorize the order in which to perform them, and know how to turn word problems into equations.
But artificial intelligence is quite literally built to pore over data, scanning for patterns and analyzing them. In that regard, the results of the test — on which the algorithm scored a 14 out of 40 — aren&#8217;t reassuring.
READ MORE: <a href="https://medium.com/syncedreview/deepmind-ai-flunks-high-school-math-test-2e32635c0e2d">DeepMind AI Flunks High School Math Test</a> [Synced via Medium]
More on Deepmind: <a href="https://futurism.com/google-deepmind-control-superhuman-ai">There’s a Power Struggle Inside Google to Control Superhuman AI</a>

Look, we've all failed tests before, but we didn't have top-notch Google engineers on our side.

Google's best AI just flunked a high school math test

Repeating Grades

Google's Deepmind just pitted its math-solving AI system against a 16-year-old's math exam. The exam won, and it wasn't that close.

Google’s Best AI Just Flunked a High School Math Test

A high school math test bested Google Deepmind's algorithm.

<h2>Math Bee</h2>
It turns out that tiny brains are more capable than previously thought.
We already knew various primates, birds, and other animals could solve <a href="http://www.bbc.com/earth/story/20150826-the-animals-that-can-count" target="_blank" rel="noopener">basic math problems</a>. Now, a team of Australian and French researchers has discovered that <a href="https://www.rmit.edu.au/news/all-news/2019/feb/bees-brains-maths" target="_blank" rel="noopener">honeybees</a> can also speak the <a href="https://www.newscientist.com/article/mg20126951-800-mathematics-the-only-true-universal-language/" target="_blank" rel="noopener">universal language of mathematics</a> on a rudimentary level — and the discovery could impact the future of artificial intelligence.
<h2>Honey and Vinegar</h2>
The researchers detail how they taught honeybees math in a <a href="http://advances.sciencemag.org/content/5/2/eaav0961" target="_blank" rel="noopener">paper</a> published on Wednesday in the journal Science Advances.
First, they trained 14 honeybees to enter a Y-shaped maze through one arm of the Y. At the entrance, the bee would see a gray square displaying between 1 and 5 shapes, all either blue or yellow. If the shapes were blue, the bee was supposed to add one to the number of shapes; if yellow, it was supposed to subtract one.
For example, if the bee saw three yellow triangles at the entrance, the correct answer to the problem was two yellow triangles.
Once the bee was in the maze, each exit corresponded to a potential answer. If the bee chose the correct exit, it got to eat tasty sugar water; the wrong exit led to a bitter-tasting solution.
At first, the bees would choose arms randomly, but according to the researchers, the insects learned over the course of more than 100 trials that blue meant adding one and yellow meant subtracting one.
<figure id="attachment_150585" style="width: 1200px" class="wp-caption aligncenter"><img class="wp-image-150585 size-large" src="https://wp-assets.futurism.com/2019/02/y-shaped-maze-1200x1290.jpg" alt="Researchers taught honeybees math skills, revealing that the animals' tiny brains are more capable than we previously thought." width="1200" height="1290" /><figcaption class="wp-caption-text">Image Credit: Science Advances</figcaption></figure>
<h2>AI Buzz</h2>
According to researcher Adrian Dyer, the fact they they could teach honeybees rudimentary arithmetic doesn&#8217;t just reveal something new about the animal kingdom. It also demonstrates that it&#8217;s possible to pack complex problem-solving capabilities into a small package — and that knowledge could prove useful as we develop future AIs.
“You need to be able to hold the rules around adding and subtracting in your long-term memory, while mentally manipulating a set of given numbers in your short-term memory,&#8221; he said in a <a href="https://www.rmit.edu.au/news/all-news/2019/feb/bees-brains-maths" target="_blank" rel="noopener">news release</a>. &#8220;On top of this, our bees also used their short-term memories to solve arithmetic problems, as they learned to recognise plus or minus as abstract concepts rather than being given visual aids.&#8221;
&#8220;Our findings suggest that advanced numerical cognition may be found much more widely in nature among non-human animals than previously suspected,&#8221; Dyer continued. &#8220;If maths doesn’t require a massive brain, there might also be new ways for us to incorporate interactions of both long-term rules and working memory into designs to improve rapid AI learning of new problems.&#8221;
READ MORE: <a href="https://www.rmit.edu.au/news/all-news/2019/feb/bees-brains-maths" target="_blank" rel="noopener">Bees Have Brains for Basic Maths: Study</a> [RMIT University]
More on bees: <a href="https://futurism.com/robo-bees-infiltrate-study-insect-societies-prevent-extinction" target="_blank" rel="noopener">Robo-Bees Can Infiltrate and Influence Insect Societies to Stop Them From Going Extinct</a>

The insects could add and subtract in exchange for a sweet treat.

Honeybees are smart enough to learn basic math

One, Two, Bee...

Researchers taught honeybees math skills, revealing that the animals' tiny brains are more capable than we previously thought.

Honeybees Are Smart Enough to Learn Basic Math

This discovery teaches us something about new bees — and maybe also AI.

Astronomers have a pretty solid hunch they&#8217;re missing something.
Luminous matter — everything that we can see and feel — only makes up about 15 percent of all the matter in the universe, <a href="https://www.scientificamerican.com/article/is-dark-matter-theory-or/">evidence suggests</a>. The rest of the matter in the universe, researchers suspect, is made up of something called dark matter, a substance they don&#8217;t know much about and is totally invisible. So far, we haven’t been able to figure out what dark matter is made of, or how it holds billions and billions of galaxies together.
But a team of astronomers recently took an important first step: weighing the Milky Way.
Figuring out how to weigh the galaxy has vexed astronomers for years. After all, they can&#8217;t exactly throw it on a scale. Previous attempts have yielded a huge range of answers, but <a href="https://arxiv.org/abs/1803.01878">research published earlier this spring</a> may finally settle the issue. This answer may bring researchers one step closer to discovering more about what dark matter is and how it works with the rest of the matter we can see.
To weigh a galaxy, you need to figure out how strong its gravitational pull is. Past experiments relied on the velocity and position of celestial bodies called tracers — rogue stars or galaxy fragments that may have been torn apart billions of years ago and now trail behind larger galaxies like our own. Because these tracers move at different velocities at different points in their erratic orbits (and because most earlier studies didn&#8217;t always take that into account), researchers have come up with a huge range of estimates for the mass of the Milky Way: anywhere between 700 billion and 2 trillion times that of the Sun. (I admit, it&#8217;s strange to measure the galaxy in terms of how many Suns it weighs. We <a href="https://books.google.com/books?id=oZFfAAAAQBAJ&amp;pg=PT134&amp;dq=solar+mass+unit&amp;hl=en&amp;sa=X&amp;ved=0ahUKEwiYt5fCmcLbAhWIm1kKHYhlDlAQ6AEIQjAE#v=onepage&amp;q=solar%20mass%20unit&amp;f=false">seem to use this</a> as a way to measure the galaxy&#8217;s weight because we learned the mass of the Sun before we learned how to measure anything else in space, so it just became astronomers&#8217; go-to unit).
In this recent study, the scientists tweaked their measurements a bit. Instead of looking at the tracers&#8217; position and velocity to determine how much gravitational force the Milky Way was exerting on them, the researchers calculated angular momentum — a measurement of rotation that stays the same throughout a tracers’ elliptical path around the universe.
With their new approach, the researchers were able to use a model of two billion years’ worth of tracer activity and come up with a more precise estimate for the mass for the galaxy: just about 960 billion times that of our Sun. That&#8217;s about half of the highest estimates made in past studies.
Admittedly, this is a pretty roundabout way of unraveling the mysteries of dark matter. But now that scientists are armed with precise numbers about the things we do know, they’re better equipped to figure out how dark and luminous matter fit together to make our galaxy what it is.

Believe it or not, scientists have been trying to do this for a long time.

A new trick lets us weigh the galaxy. It's the first step toward figuring out what it's made of

Off World

By changing the way we try to calculate galactic mass, we have a better chance of understanding how dark and luminous matter fit together.

A New Trick Lets Us Weigh The Galaxy. It’s The First Step Toward Figuring Out What It’s Made Of

So that we can finally understand dark matter. 

You just have to know the best learning technique.

Hard Science

Watch: Anyone Can Be a Math Person

Ubiquitous as they are, making sense of singularities is often a challenge.

Watch: Singularities Explained

While synthetic biological systems tend to focus on either one of the two: analog or digital processing by cells, scientists from MIT can now integrate both processing methods into living cells, raising the capability of <a href="https://futurism.com/scientists-new-type-genetic-circuit-can-implanted-organisms/">gene-based circuits</a> to a far more sophisticated level.
“Living cells are capable of performing complex computations on the environmental signals they encounter,” MIT says in the <a href="http://news.mit.edu/2016/gene-circuits-live-cells-complex-computations-0603">press release</a>. “These computations can be continuous, or analogue, in nature — the way eyes adjust to gradual changes in the light levels. They can also be digital, involving simple on or off processes, such as a cell’s initiation of its own death.”
<iframe width="500" height="281" src="https://www.youtube.com/embed/WNkbD3Dwo8g?feature=oembed" frameborder="0" allowfullscreen></iframe>
“Digital is basically a way of computing in which you get intelligence out of very simple parts, because each part only does a very simple thing, but when you put them all together you get something that is very smart,” says Timothy Lu, associate professor of electrical engineering and computer science and of biological engineering, and head of the Synthetic Biology Group at MIT’s Research Laboratory of Electronics, who led <a href="http://www.nature.com/ncomms/2016/160603/ncomms11658/abs/ncomms11658.html">the research</a>.

Researchers at MIT have developed a method that allows both digital and analog computing in living cells. This means far more sophisticated developments in gene-based circuits can be made, like those used in the medical industry. 

“Living Circuits” Can Assist With Complex Computing

Gene-based circuits have arrived, and they are getting more and more sophisticated.

Physics and Mathematics are extremely important subjects. Actually, that&#8217;s a bit of an understatement.
Physics and Mathematics allow us to peer out into the cosmos and understand the inner workings of the universe. At once, they show us our  insignificance and our remarkable potential; they give us a hint of the vast possibilities that exist—of what we could (and may) one day accomplish. They allow us to see the world and to see ourselves anew.
That begins to scratch the surface of these subjects.
No one can deny their importance; however, it is also a fact that many people don&#8217;t know where to begin investigating these topics&#8230;what books to study, what themes to begin with. On top of this, many feel intimidated by physics and math—they seem to think that they are things which only the sharpest individuals are able to understand.
But nothing could be farther from the truth.
True, these subject areas might not be the easiest that you will ever happen across, but they are far from impossible. So. If you want to be a physicist or a mathematician,  or if you just want to understand the subjects, here&#8217;s where to start.
Huge thanks to the wonderful <a href="https://www.facebook.com/SciAndMaths/">Moinak Banerjee</a> for his work on this.
<h2>Physics</h2>
<ul>
<li>Here is <a href="http://math.ucr.edu/home/baez/books.html">professor John Baez advice on how to learn physics and mathematics</a>. He mentions the books you should read, and they are conveniently listed according to increasing levels of difficulty.</li>
<li>This is the list of books that <a href="https://www.ocf.berkeley.edu/~abhishek/chicphys.htm">Berkeley recommends for people</a> who want to teach themselves physics.</li>
<li>And <a href="http://physics.stackexchange.com/questions/12175/book-recommendations">yet another list that is pretty good</a>, which was compiled on Physics Stack Exchange.</li>
<li>Nobel laureate professor Gerard &#8216;t Hooft has <a href="http://www.staff.science.uu.nl/~gadda001/goodtheorist/">recommended some learning sources</a> that are all free, and he also has advice related to how to earn your own Nobel prize.</li>
<li>Here is some <a href="https://www.physicsforums.com/threads/so-you-want-to-be-a-physicist.240792/">great advice from a physicist on Physics Forums</a> regarding what you should do if you want to do more than just learn physics—on what to do if you want to actually have a career in physics.</li>
<li>To supplement these, check out <a href="https://futurism.com/ultimate-collection-free-physics-videos/">our extensive list of online physics lecture videos</a>.</li>
</ul>
<h2>Math</h2>
<ul>
<li>Mathematician Terence Tao, who is also a Fields medalist and a Breakthrough prize winner, <a href="https://terrytao.wordpress.com/career-advice/">gave some beautiful advice on pursuing a career in math here</a>.</li>
<li>If you are looking for mathematics books you should read, here is <a href="https://www.ocf.berkeley.edu/~abhishek/chicmath.htm">an extensive list by Berkeley</a>.</li>
<li>The aforementioned should probably be followed up by <a href="http://math.stackexchange.com/questions/94827/books-that-every-student-needs-to-go-through">the compilation from the Math Stack Exchange</a>.</li>
<li>Also, there&#8217;s <a href="https://people.math.gatech.edu/~cain/textbooks/onlinebooks.html">an extensive list of what you should read</a> on the Georgia Institute of Technology website, and all of the texts that they link to are online and free.</li>
<li>You can access more free math texts <a href="http://math.stackexchange.com/questions/302023/best-sets-of-lecture-notes-and-articles">here</a> and <a href="http://mathoverflow.net/questions/1722/free-high-quality-mathematical-writing-online">here</a>.</li>
</ul>
<h2>Separating Science From Pseudoscience</h2>
<ul>
<li>Here is a hilarious point system on how to tell if something is &#8216;crank science&#8217; <a href="http://math.ucr.edu/home/baez/crackpot.html">from John Baez</a>.</li>
<li> Warren Siegel has an equally <a href="http://insti.physics.sunysb.edu/~siegel/quack.html">hilarious write up here</a>.</li>
<li>And finally, <a href="http://www.staff.science.uu.nl/~hooft101/theoristbad.html">from Gerard &#8216;t Hooft</a>.</li>
</ul>
Now venture forth, live long, and study well.

Black holes, quantum entanglement, and worlds with 11 dimensions—get to know the amazing physics that governs our universe and the math behind it. 

Here’s How to Teach Yourself Physics and Math

Get to know the amazing physics that governs our universe...and the math behind it. 

<h5>Strange Science</h5>
Science often isn&#8217;t a bold &#8220;Eureka!,&#8221; a shout that that is loudly proclaimed after decades of painstaking research. Rather, many times, it begins with a &#8220;Huh, that&#8217;s funny,&#8221; and it ends someplace entirely unexpected. Case in point: This week, physicists announced that they uncovered a hidden connection between a famous 350-year-old mathematical formula for pi and quantum mechanics.
Pi is the ratio between a circle&#8217;s circumference and its diameter. And in relation to this most recent paper, the research all goes back to English mathematician John Wallis.
In 1655, Wallis published a formula for calculating pi as the product of an infinite series of ratios. In a <a href="http://scitation.aip.org/content/aip/journal/jmp/56/11/10.1063/1.4930800" target="_blank">paper published this week</a> in the Journal of Mathematical Physics, University of Rochester physicists announced they had discovered the same formula in their calculations of a hydrogen atom’s energy levels.
So in a weird way, pi and quantum mechanics have a connection.
<figure id="attachment_9427" style="width: 720px" class="wp-caption aligncenter"><a href="https://wp-assets.futurism.com/2015/11/Arithmetica-infinitorum.jpg"><img class="size-full wp-image-9427" src="https://wp-assets.futurism.com/2015/11/Arithmetica-infinitorum.jpg" alt="Two pages from Arithmetica infinitorum" width="720" height="276" /></a><figcaption class="wp-caption-text">Two pages from Arithmetica infinitorum</figcaption></figure>
<h5>The Discovery</h5>
Rochester physicist Tamar Friedmann and co-author Carl Hagen were working on a specific kind of technique, known as the &#8216;<a href="http://farside.ph.utexas.edu/teaching/qmech/Quantum/node127.html">variation principle</a>,&#8217; that could be used to approximate the energy states of quantum systems. Hagen was attempting to demonstrate the technique for his students. Notably, in this case, he was working with the hydrogen atom. But when Hagen went to solve the equations, he noticed that the error bars were the exact opposite of what the technique is supposed to produce.
Hagen explains, “At the lower energy orbits, the path of the electron is fuzzy and spread out. At more excited states, the orbits become more sharply defined and the uncertainty&#8230; decreases.” As they worked out this trend, they quickly realized that what they got from the hydrogen atom was a manifestation of the Wallis formula for pi – the first time it had even been derived from physics.
&#8220;We weren&#8217;t looking for the Wallis formula for pi. It just fell into our laps,&#8221;<a href="http://www.eurekalert.org/pub_releases/2015-11/aiop-ndo110915.php"> </a><a href="http://www.eurekalert.org/pub_releases/2015-11/aiop-ndo110915.php" target="_blank">Hagen said in a press release</a>. &#8220;It was a complete surprise,&#8221; added Friedmann. &#8220;I jumped up and down when we got the Wallis formula out of equations for the hydrogen atom.&#8221;
Just a little proof that, sometimes, science takes you to some odd places.
&nbsp;

For the first time, scientists have discovered evidence of a classic formula for pi in the world of quantum physics.

Strange Science: Physicists Find Classic Formula for Pi Hiding in Quantum Mechanics

This meme about not using Algebra has been making the rounds. We didn&#8217;t want to let the opportunity pass. So. Let&#8217;s talk about how many time you actually used math today. Just because there are no Xs or Ys in sight doesn&#8217;t mean you aren&#8217;t using Algebra every single day.
<figure id="attachment_31793" style="width: 638px" class="wp-caption aligncenter"><a href="https://wp-assets.futurism.com/2014/10/10559963_604824649637671_1741433380258726307_n1.png"><img class="size-full wp-image-31793" src="https://wp-assets.futurism.com/2014/10/10559963_604824649637671_1741433380258726307_n1.png" alt="Popular meme floating about the internet. Origional image credit: Unknown" width="638" height="310" /></a><figcaption class="wp-caption-text">Popular meme floating about the internet. Original image credit: Unknown</figcaption></figure>
Let&#8217;s say you go to the supermarket, you have ten dollars in your pocket and need to buy some produce and some beverages. Once you look at the prices, you figure out how much you can put in your cart without getting embarrassed at checkout by having too little cash.
That&#8217;s Algebra.
If you&#8217;ve ever set your alarm clock to get to a meeting on time, and you needed to figure out how much time to allow for picking up coffee on the way, that&#8217;s Algebra too. In fact, every time you need to problem solve a situation that involves money, time, distance, the perimeter of a fence, volume of something, cost versus time&#8230;need I go on?
You are using algebra.
But here&#8217;s a real surprise: Did you know that today you used advanced calculus, geometry, and a whole truckload of maths we likely haven&#8217;t even discovered yet? If you have a dog, they did too. Admittedly, this isn&#8217;t the kind of math the meme was talking about, but if we&#8217;re going to discuss math use, then let&#8217;s make it interesting.
When you throw a piece of paper into the trash can a couple feet away, how do you know that you don&#8217;t need to throw it as hard as you possibly can to cover the distance? It&#8217;s because you instinctively calculated the required trajectory, the air resistance, the weight of the piece of trash, and the force needed to make it to the trashcan. Not only that, but you also figured out how strong of a nerve impulse to send to each muscle at each moment in time to make that muscle contract (or relax) just the right amount at just the right time (of course, if you miss the trashcan, then that means you did your math wrong. But we&#8217;ll let it slide.)
Your brain did all that math without even consciously thinking about most of it (which is why people so often say, &#8220;the brain is the most complex machine known to man&#8221;).
Interestingly, even babies are able to calculate trajectories. If a baby as young as 16 weeks sees an object approaching them on a trajectory where it will land near them, they just track the object. But if it going to hit them, they will preemptively turn their heads away. The reason for this is ostensibly to protect their eyes. They aren&#8217;t perfect, but they are pretty good at it. Even if the object is going to land right next to their head, they don&#8217;t bother dodging it. The accuracy is remarkable. Prior to 16 weeks, they don&#8217;t have the visual acuity to pull this trick off, so it&#8217;s unknown just how early this innate math actually develops).
And if you&#8217;ve ever seen a dog catch a morsel of food in midair, they&#8217;ve first had to do the same kinds of math (admittedly, not Algebra &#8211; but innate, advanced Calculus in a canine is more impressive anyway.)
<h2 style="text-align: justify;">Now, all that said, here is the heart of the issue:</h2>
You won&#8217;t use algebra for your job, so why should we teach kids how to do it? At least, that is the argument so many people seem to be concerned with. Why should we raise people to be intelligent, productive members of society—why raise them to be problem solvers and critical thinkers who are able to respond to a multitude of issues—when, really, all we need them to be is consumers and participants in our capitalist society?
And you know, I have no argument against that.
If we want people to only be capable of the bare minimum, if we don&#8217;t want to encourage them—be they blue collar factory workers or white collar stock brokers—to explore the universe around them, to put down the smartphone and try using their brain&#8230;well, then I guess we shouldn&#8217;t bother teaching them algebra. Hell, if that&#8217;s our goal, we shouldn&#8217;t really bother teaching them anything.

Just because there are no Xs or Ys in sight, it doesn't mean you aren't using Algebra every single day.

Proof That You Use Algebra All The Time (Even If You Don’t Realize it)

You probably even used calculus today. 

Have you ever wondered what Pi sounds like? Yes, we mean the mathematical constant Pi, 3.14159&#8230;so on and so forth forever. Michael Blake has assigned each of the 10 numbers (0 to 9) a note on a scale, and he made Pi into a song up to 31 places!
Pi is, quite possibly, the most famous number known to man. This fact is a little bit ironic, as we don’t actually have a number for pi. Well, not a complete number anyways, because pi never ends. If you try to pin it down to the decimal, you can’t do it—the decimal representation goes on endlessly, and it never settles into a repeating pattern. Hence, all the fame.
If you are unfamiliar with this number, pi is the mathematical constant that represents the ratio of a circle’s circumference to its diameter, and it is typically written as 3.14159.  But of course, this number isn’t entirely accurate because (as was previously mentioned) pi never ends. But why does pi matter? In short, because pi indicates that it is impossible to solve the ancient challenge of squaring the circle with a compass and straight-edge. Due to this impossibility, the number itself has plagued individuals since ancient times.
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In fact, many people have devoted their lives to working out pi as accurately as possible. A British mathematician, William Shanks (1812—1882), spent 15 years of his life working out pi to 707 digits. This is an impressive feat…unfortunately, he made a mistake at the 528th digit, which rendered all subsequent numbers inaccurate. 
However, (despite some minor set backs) the quest to understand pi continues. Today, pi has been computed to more than <a style="color: #00a1f1;" href="http://www.cbsnews.com/news/pi-calculated-to-its-ten-trillionth-digit/" target="_blank" rel="noopener">10 trillion digits</a>. In November of 2004, a chemistry student from China,  Chao Lu, attempted to recite as much of pi as possible. Lu practiced for over four years for the attempt and made it to an astounding 67,890 numbers. This feat earned Lu a place in the <a style="color: #00a1f1;" href="http://www.guinnessworldrecords.com/world-records/1/most-pi-places-memorised" target="_blank" rel="noopener">Guinness Book of World Records</a> for the most places of pi memorized.
In the video posted below, Blake uses various instruments to create this song (such as a piano, xylophone, ukulele and others, all playing together). This song merges the left and right side of the human brain in a beautiful way. Instead of mathematics and music opposing one another, they have combined into this piece of music.
<div style="text-align: center;"><iframe frameborder="0" height="512" src="//www.youtube.com/embed/wK7tq7L0N8E" width="745"></iframe></div>
The song is oddly soothing and very interesting, especially when you consider, as you&#8217;re listening to the notes, this is pi in music form.
This isn&#8217;t the only great video Michael Blake has put together (In fact, it isn&#8217;t even the first time anyone has written a pi-based melody, that <a href="https://www.youtube.com/watch?v=SzNlaxpD0zY" target="_blank" rel="noopener">honor would go to</a> Lars Erickson). He another one that outlines what <a href="https://www.youtube.com/watch?v=3174T-3-59Q&amp;list=TL4-zx81tcPgySD-Tk_ANgO_hXb7lScBVb" target="_blank" rel="noopener">tau might sound like</a>.

Michael Blake has assigned each of the 10 numbers (0 to 9) a note on a scale, and he made Pi into a song. Give it a listen here. 

/Math

Repeating Grades

Google’s Best AI Just Flunked a High School Math Test

One, Two, Bee...

Honeybees Are Smart Enough to Learn Basic Math

Off World

A New Trick Lets Us Weigh The Galaxy. It’s The First Step Toward Figuring Out What It’s Made Of

Hard Science

Watch: Anyone Can Be a Math Person

Hard Science

Watch: Singularities Explained

Hard Science

“Living Circuits” Can Assist With Complex Computing

Hard Science

Here’s How to Teach Yourself Physics and Math

Hard Science

Strange Science: Physicists Find Classic Formula for Pi Hiding in Quantum Mechanics

Hard Science

Proof That You Use Algebra All The Time (Even If You Don’t Realize it)

Hard Science

Know Your 3.14 – This is What Pi Sounds Like

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