language agnostic - Learning to Write a Compiler Out in the Great Alone I landed in Anchorage in the middle of the night. The next morning, I drove an hour north to Wolf Lake Airport, a private airfield near Wasilla. You know those old photo-backdrop screens that little kids in department stores used to have their portraits taken in front of? It was like driving into one of those. National-monument mountains framing a sky that was chemical blue. The majority of this extreme vastness can’t be reached by road. Jay Baldwin met me at the hangar. His best friend was a musher, Linwood Fiedler, who’d been the Iditarod’s runner-up in 2001. Enlarge Clippings of crash reports hang on the wall of the ACTS hangar. “You’re not a pilot in Alaska,” Jay said, fixing me with a blue-eyed and somehow vaguely piratical stare, “until you’ve crashed an airplane. Having lost more friends than he could count to wrecks in the remote Alaskan wilderness, he was obsessed with crash reports, fatality statistics, replaying weird scenarios. They were so small. “God love ’em,” Jay said.
Exascale Challenges The emerging exascale computing architecture will not be simply 1000 x today’s petascale architecture. All proposed exascale computer systems designs will share some of the following challenges: Processor architecture is still unknown. These challenges represent a change in the computing cost model, from expensive flops coupled with almost free data movement, to free flops coupled with expensive data movement.
Hugh C. Howey - Best selling author of WOOL and the Molly Fyde series natural language processing blog Top Science Longreads of 2013 I’m really optimistic about the future for long, deep, rich science reporting. There are more places that a publishing it, more ways of finding it, and a seemingly huge cadre of people who are writing it well. So without further ado, here’s a list of my top pieces of the year. It has blossomed to 15 from last year’s 12 because I was gripped by indecision and they’re all so good. In no particular order: 1) Bones of Contention, by Paige Williams for the New Yorker. “He sold sloth claws, elephant jaws, wolf molars, dinosaur ribs—a wide range of anatomical fragments that went, mostly, for between ten and fifty dollars. 2) Imagining the Post-Antibiotics Future, by Maryn McKenna for Medium. ““Many treatments require suppressing the immune system, to help destroy cancer or to keep a transplanted organ viable. 3) Uprooted, by Virginia Hughes for Matter. 4) The Social Life of Genes, by David Dobbs for Pacific Standard. 6) The Short Happy Life of a Serengeti Lion, by David Quammen. And finally…
Natural language processing tutorial - Vik's Blog Introduction This will serve as an introduction to natural language processing. I adapted it from slides for a recent talk at Boston Python. We will go from tokenization to feature extraction to creating a model using a machine learning algorithm. The goal is to provide a reasonable baseline on top of which more complex natural language processing can be done, and provide a good introduction to the material. The examples in this code are done in R, but are easily translatable to other languages. Training set example Let's say that I wanted to give a survey today and ask the following question: Why do you want to learn about machine learning? The responses might look like this: ## 1 I like solving interesting problems. ## 2 What is machine learning? Let's say that the survey also asks people to rate their interest on a scale of 0 to 2. We would now have text and associated scores: First steps What is the algorithm doing? Tokenization Let's tokenize the first survey response: Bag of words model
The Mammoth Cometh Photo The first time Ben Novak saw a passenger pigeon, he fell to his knees and remained in that position, speechless, for 20 minutes. He was 16. Continue reading the main story cryptanalysis - Recommended skills for a job in cryptology - Cryptography Stack Exchange It seems we have aligned interests. I'm also a university student (although I am a math/comp sci double major) looking to pursue a career in cryptography. To that end, I have been self-studying it for a while now. So, take what I say with a grain of salt. From what I can best tell, the requisite knowledge of computer science is entirely dependent on what you want to do with cryptography exactly. The reasons for this are many-fold. Further, you will need a strong knowledge of C, which sits so close to the hardware that it isn't too far a step away anyways. To that end, I would really recommend you pick up a minor in computer science if you are going to work with applied cryptography at all. Of course, to get very far in crypto, you will have to have a strong understanding of mathematics. The HAC lists probability theory, information theory, complexity theory, number theory, and abstract algebra as being introductory background material, and the rabbit hole just goes deeper and deeper.
When did America become too afraid to explore a frontier? America's idea of itself is inextricably tied to the opening of the American West. In the 19th century America embraced the entrepreneurs, and rugged individuals who sought to reinvent themselves by going west. Joe Manchin seems to have forgotten who we are. He seems to have forgotten that it was not the bankers or the boy scouts who opened the West, it was the entrepreneurs, and yes, the hucksters, and the speculators, and all manner of flawed characters looking for a place where they could enjoy the relative freedom of the frontier, away from the tentacles of an overreaching government. He seems to have forgotten that, more than anything else, it was the frenzied speculation of the Gold Rush that led to California becoming a state, the building of roads, churches, and schools throughout California and the development of the transcontinental railroad that bound California to the rest of the United States.
Handbook of Applied Cryptography Alfred J. Menezes, CRC Press ISBN: 0-8493-8523-7 October 1996, 816 pages Fifth Printing (August 2001) The Handbook was reprinted (5th printing) in August 2001. The publisher made all the various minor changes and updates we submitted. You can identify the 5th printing of the book by looking for "5 6 7 8 9 0" at the bottom of the page that includes the ISBN number.
Planning Algorithms / Motion Planning