SciShow
The Crabs That Revolutionized Neuroscience
We used to think neural circuits were rigid and robotic, but now we know that's not true -- thanks to crab stomachs.
SciShow
Should You Worry About Caffeine Dehydrating You?
There’s a widespread belief that caffeinated drinks will make you dehydrated because the caffeine itself makes you pee. But is caffeine affecting you as much as you think?
TED Talks
TED: Does AI actually understand us? | Alona Fyshe
Is AI as smart as it seems? Exploring the "brain" behind machine learning, neural networker Alona Fyshe delves into the language processing abilities of talkative tech (like the groundbreaking chatbot and internet obsession ChatGPT) and...
3Blue1Brown
Cramer's rule, explained geometrically | Essence of linear algebra, chapter 12
What Cramer's rule is, and a geometric reason it's true
Bozeman Science
Environmental Systems
In this video Paul Andersen explains how matter and energy are conserved within the Earth's system. Matter is a closed system and Energy is open to the surroundings. In natural systems steady state is maintained through feedback loops...
PBS
What are Numbers Made of?
In the physical world, many seemingly basic things turn out to be built from even more basic things. Molecules are made of atoms, atoms are made of protons, neutrons, and electrons. So what are numbers made of?
3Blue1Brown
Sneaky Topology | The Borsuk-Ulam theorem and stolen necklaces: Topology - Part 3 of 3
Solving a discrete math puzzle, namely the stolen necklace problem, using topology, namely the Borsuk Ulam theorem
3Blue1Brown
What they won't teach you in calculus
A visual for derivatives which generalizes more nicely to topics beyond calculus. Thinking of a function as a transformation, the derivative measure how much that function locally stretches or squishes a given region.
3Blue1Brown
Cramer's rule, explained geometrically: Essence of Linear Algebra - Part 12 of 15
This rule seems random to many students, but it has a beautiful reason for being true.
PBS
How Big are All Infinities Combined? (Cantor's Paradox)
Infinities come in different sizes. There's a whole tower of progressively larger "sizes of infinity". So what's the right way to describe the size of the whole tower?
3Blue1Brown
Inverse matrices, column space and null space: Essence of Linear Algebra - Part 7 of 15
How do you think about the column space and null space of a matrix visually? How do you think about the inverse of a matrix?
SciShow
How Science Is Trying to Understand Consciousness
Figuring out exactly what consciousness is and whether or not it could emerge in non-human things has stumped us for centuries. Now, analyzing it from a scientific perspective might not just be possible, but necessary.
TED Talks
Mariana Mazzucato: What is economic value, and who creates it?
Where does wealth come from, who creates it and what destroys it? In this deep dive into global economics, Mariana Mazzucato explains how we lost sight of what value means and why we need to rethink our current financial systems -- so...
3Blue1Brown
Inverse matrices, column space and null space | Essence of linear algebra, chapter 6
How do you think about the column space and null space of a matrix visually? How do you think about the inverse of a matrix?
3Blue1Brown
Backpropagation calculus | Deep learning, chapter 4
The math of backpropagation, the algorithm by which neural networks learn.
TED Talks
Juan Enriquez: Using biology to rethink the energy challenge
Juan Enriquez challenges our definition of bioenergy. Oil, coal, gas and other hydrocarbons are not chemical but biological products, based on plant matter -- and thus, growable. Our whole approach to fuel, he argues, needs to change.
Crash Course
Training Neural Networks
Today we’re going to talk about how neurons in a neural network learn by getting their math adjusted, called backpropagation, and how we can optimize networks by finding the best combinations of weights to minimize error. Then we’ll send...
TED Talks
Skylar Tibbits: Can we make things that make themselves?
MIT researcher Skylar Tibbits works on self-assembly -- the idea that instead of building something (a chair, a skyscraper), we can create materials that build themselves, much the way a strand of DNA zips itself together. It's a big...
TED-Ed
TED-Ed: The greatest mathematician that never lived | Pratik Aghor
When Nicolas Bourbaki applied to the American Mathematical Society in the 1950s, he was already one of the most influential mathematicians of his time. He'd published articles in international journals and his textbooks were required...
3Blue1Brown
Sneaky Topology (The Borsuk-Ulam theorem)
Solving a discrete math puzzle, namely the stolen necklace problem, using topology, namely the Borsuk Ulam theorem
3Blue1Brown
Backpropagation calculus | Appendix to deep learning chapter 3
The math of backpropagation, the algorithm by which neural networks learn.
SciShow
How Computers Find Naked People in Photos
Why isn't the internet just covered in naked people? Algorithms! However, designing them to distinguish between pornography and people in skin tone clothing or swimsuits is harder than you'd think.
3Blue1Brown
What is backpropagation really doing? | Deep learning, chapter 3
An overview of backpropagation, the algorithm behind how neural networks learn.
3Blue1Brown
Backpropagation calculus: Deep learning - Part 4 of 4
The math of backpropagation, the algorithm by which neural networks learn.