Are you aware of any other computational maths problems where a sufficiently motivated amateur could make an improvement on the state of the art?
Now wait till the generated content is indistinguishable from human content (to humans) and it will be hard to figure out what's in your training set.
Here's the screen that I got, it's pricey, but in my case was well worth it: https://shop.dasung.com/products/dasung-e-ink-paperlike-hd-f...
The product offering of eink screens is virtually non-existent, the only usable one for interactive work that I found was the Dasung 13.3", which is the one I got.
The growth of tech in the past 6 months seems too high given the uncertainty of recent times (not having a working covid vaccine, the potential of a second wave, medium / long term consequences that are still propagating, etc).
By the way thanks for writing the article, it was a refreshing read.
Geometry works with constructs, not numbers. An intersection is a construct, collinearity is a construct, orientation / handedness is a construct, etc. If you define your fundamental constructs to be rigorous then the algorithms you build on top will also be rigorous. If we consider the article's inside-outside test example, this result would be computed based on the intersections (intervals) we've computed. Since we know for sure the correct result is within our interval of error then inside-testing boils down to comparing intervals and we know there are three possible situations here: 1. [a, b] < [c, d]; 2 [a, b] > [c, d]; 3. [a, b] overlaps with [c, d]. In case 1 and 2 we have a robust conclusion and in case 3 we recompute the whole predicate with higher precision until it becomes decidable.
The golden standard for exact geometric computation is CGAL [1]. All the research around it is very interesting and refreshing to read.
[1] cgal.org
Personal website that I've been wanting to turn into a blog about computational (differential) geometry, applied mathematics, performance optimization and distributed systems.
2. Linked (Barabasi) - insightful and useful to understand that most phenomenon we see in real life follow a power law and what that means
3. Leonardo da Vinci (Walter Isaacson) - surprising how little of da Vinci's real personality is reflected in his modern image
4. Matrix computations – third edition (Gene Golub, Charles van Loan) - good read if you're into linear algebra
5. Giving effective feedback (Harvard business review) - useful for getting an understanding on how to handle human interaction
6. The old man and the sea (Ernest Hemingway) - enjoyed it a lot, a reflection of Hemingway's romantic spirit. Also, a quick read.
7. Screwjack (Hunter S. Thompson) - didn't resonate with me although I am a fan of existentialism
8. Sun and steel (Yukio Mishima) - raw and intimate. before reading this book I'd recommend reading up on Mishima's life
9. Stranger than fiction (Chuck Palahniuck) - somewhat entertaining, more so because it served as a glimpse into Palahniuck's creative process
10. Thinking in Systems: A Primer (Dana Meadows) - useful for understanding that in modern life we have complex systems at work with emergent behavior that we didn't expect. Trying to isolate / model a single component of one of these systems is a flawed approach.
11. Chaos monkeys (Antonio Garcia Martinez) - entertaining, but quite long
12. Weapons of math destruction (Cathy O'Neil) - in a way, similar to Thinking in systems, but at an applied level. Shows how rules in modern society can have unintended negative consequences when hidden negative feedback loops emerge from the complex system they are embedded in.
13. Lolita (Nabokov) - a brilliant novel from many points of view. Although the topic is controversial, it is a book that had to be written.
14. The prince (Machiavelli) - an interesting read. It was intended as a guide to the young price Cesare Borgia from his teacher Machiavelli. The secret to enjoying it is not to judge it by modern morality.
15. Give and take (Adam Grant) - psychology research about giving / taking / matching personality types presented in a book for the masses. I would not read it again; watching a presentation online should be enough to get the point across.
16. Mécanique (Landau, Lifchitz) - refresh of mechanics
17. Do androids dream of electric sheep (Philip K. Dick) - enjoyable and entertaining! I'm surprised how different the feel of the book is compared to the Blade runner films. In the book androids are purely rational beings, whereas the film wraps them in an aura of romanticism.
18. How we learn (Benedict Carey) - decades of learning research condensed in a book
19. Advanced Calculus: A Differential Forms Approach (Harold M. Edwards) - the best math book I've read so far! For me it was eye-opening in a fundamental way. Edwards is truly a gifted teacher.
20. Three men in a boat (Jerome K. Jerome) - enjoyable and amusing
21. Getting to yes (Roger Fisher, William Ury) - negotiation book, nicely written and structured
22. Without a word (Zhang Jie) - historical novel by one of China's most acclaimed modern writers. I don't have a good reference to compare against since this was my first Chinese novel, but overall I did enjoy it. It felt real and raw.
Let's do some freelancer mithbusting! Which of the following are true in your experience?1. Exposure to a diverse set of work environments;2. Exposure to a diverse set of technologies and domains;3. Finding work when starting out is difficult;4. Finding work becomes progressively easier;5. You don't have time to get bored;6. You have the freedom to work on other projects, including your own;7....
Share your story. In more detail:How did you get there? What is your field? How long have you been in it? What are you working on now? Where are you located?
Over the past few years I've been playing around with the idea of building large number crunching applications for fun and personal research. While the applications I had in mind aren't trivially parallel, they should map well to a parallel architecture.There are generally two options for running a big parallel application: 1. going to a commercial provider, which is prohibitively expensive; 2....
Is it possible to make money by making a quality JS library and monetizing it either through direct sales (preferably) or some other way?Are the IP risks too big or can they be mitigated by using obfuscation?