Find More Like

https://en.wikipedia.org/wiki/Elizabeth_Loftus#The_memory_wars

YCombinator Links

GPU Text Rendering

Design

• Massive Change
• Draplin Design Co

Presentations

• http://www.pdl.cmu.edu/SDI/2015/slides/DatacenterComputers.pdf
• Crash course in x86 for Reverse Engineers
• AGI General Intelligence (Karpathy)

Theses

• Algebraic Subtyping
• Group theoretical methods in machine learning

Reports

• McKinsey: State of AI in 2017
• Type Systems - Luca Cardelli

Papers

• https://news.ycombinator.com/item?id=10783983
• 2010 CMU Big Data Reading Group
• Doom 3 Network Architecture
• ETH Zurich Systems Group
• Fast Userspace Packet Processing (click)
• The Structure and Performance of Efficient Interpreters
• TACOTRON: A FULLY END-TO-END TEXT-TO-SPEECH SYNTHESIS MODEL
• SILT: A Memory-Efficient, High-Performance Key-Value Store
• Image Super-Resolution Using Deep Convolutional Networks
• Approximation by Superpositions of a Sigmoidal Function
• Deep biomarkers of human aging: Application of deep neural networks to biomarker development
• Memories of unethical actions become obfuscated over time
• ARRAY LAYOUTS FOR COMPARISON-BASED SEARCHING
• Writing parsers like it is 2017
• Infiniswap: Efficient Memory Disaggregation
• MAKING HUMANS A MULTI-PLANETARY SPECIES
• cGAN-based Manga Colorization Using a Single Training Image
• On-the-Fly Garbage Collection: An Exercise in Cooperation (Djikstra,Lamport)
• Natural Language Thm Prover
• [A comprehensive study of Convergent and Commutative Replicated Data Types] http://hal.upmc.fr/file/index/docid/555588/filename/techreport.pdf)
• BitFunnel: Revisiting Signatures for Search

AI/CNN/ML PAPERS

• Learning to Generate Reviews and Discovering Sentiment
• Developing Bug-Free Machine Learning Systems With Formal Mathematics
• Fast Regex Generation using NNs
• Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
• Learning Transferable Architectures for Scalable Image Recognition
• Towards Biologically Plausible Deep Learning
• Machine Learning: An Applied Econometric Approach

Liskov’s “Must Read” For Computer Scientists (from here)

Dijkstra, E. W. (1968). Letters to the editor: go to statement considered harmful.Communications of the ACM, 11(3), 147-148.    
Wirth, N. (1971). Program development by stepwise refinement. Communications of the ACM, 14(4), 221-227.    
Parnas, D. L. (1971). Information distribution aspects of design methodology. 
Dahl, O. J., & Hoare, C. A. R. (1972). Chapter III: Hierarchical program structures (pp. 175-220). Academic Press Ltd..    
Morris Jr, J. H. (1973). Protection in programming languages. Communications of the ACM, 16(1), 15-21.   
Liskov, B., & Zilles, S. (1974, March). Programming with abstract data types. In ACM Sigplan Notices (Vol. 9, No. 4, pp. 50-59). ACM.    
Liskov, B. H. (1972, December). A design methodology for reliable software systems. In Proceedings of the December 5-7, 1972, fall joint computer conference, part I (pp. 191-199). ACM.    

Blog Posts

• http://danluu.com/perf-tracing/
• Twitter’s DB: Manhattan
• Linux Networking Stack
• Data Structures for External Memory & Cambridge CS Notes
• Variational Encoders
• How does GDB Work?
• Intro To Galois Theory
• Category Theory for Programmers
• An Adversarial Review of “Adversarial Generation of Natural Language”
• Danny Britz, Google Brain Resident
• Writing a Formally-Verified Porn Browser in Coq and Haskell
• Li Haoyi, Dropbox Lead/Fluent Tech
• Graphs not grids: How caches are corrupting young algorithms designers and how to fix it
• Mathy Vanhoef: Windows MAC Address Randomization
• Transit and Peering: How your requests reach GitHub
• What do economists do at Tech Firms?
• A few CTF/Bug Bounty Reports

Books

Art

• The Story of Art (E.H. Gombrich)

Business

• Machine That Changed the World
• Yes, And: How Improvisation Reverses “No, But” Thinking and Improves Creativity and Collaboration–Lessons from The Second City

Cooking

• The Sci of Good Cooking

Cog Psy

• Cog Psy
• PsychoPharm

Medical

• Huangdi Neijing - Ancient Chinese Medical Text

Typography

• http://practicaltypography.com/

Math

• Calculus Made Easy
• STREET-FIGHTING MATHEMATICS
• An Introduction to the Theory of Elliptic Curves
• Mathematics for Physics
• A Computable Universe: Understanding and Exploring Nature as Computation
• Georgia Tech Online Math Textbook Collection (Prof Cain)
• Uminnesota Textbook Collection
• American Institute of Math Textbook Collection
• Warren Siegal’s Upper Level Physics Books (Stonybrook QFT Group)
• American Math Society Lecture Notes
• Open Access Game Theory Book

Descriptive Set Theory

Life of Godel (from U&I class)

Music

• Music, Thought, and Feeling: Understanding the Psychology of Music
• 5 Books on Wagner

Autonomous Cars

• Whats new in Auto Vehicle Verification (2017 Stuttgart Symposium)

Being a Professor

• “What do academics do all day”?(The academic’s art of work)

CS

Architecture

• Risc V workshop Proc

Systems

• Software Optimization

• Linux Graphics Demystified

• What Every Programmer should know about Memory - Ulrich Drepper
• The Linux Programming Interface: A Linux and UNIX System Programming Handbook
• Unix Hater’s Guide
• Compiler Construction - ETH Zurich
• High Performance Browser Networking - W3C Cochair
• Linux Device Drivers - O’Reilly
• The Art of Multiprocessor Programming

• Reverse Engineering Malware

• Memory Efficient Java Study (PLDI09)
• System-level Recap of C + ASM Interface
• Ask HN: Primer on Cryptocurrencies
• Ask HN: modern computer graphics?
• Ask HN: Learn Computer vision?
• Automated Trading

Theory

• CS Guide to Cell Biology - CMU’s Cohen
• Information Theory - Cambridge’s MacKay
• http://stackoverflow.com/questions/1711/what-is-the-single-most-influential-book-every-programmer-should-read
• Applied Crypto Guide - Waterloo
• Decision Procedures - Oxford
• Building Problem Solvers - Northwestern
• Okasaki’s Thesis/FP book - CMU thesis
• Making of PPT (Creator of Startup)
• Theory of Distributed Systems, Randomized Algos, Computational Complexity - Yale
• Thirty-three Miniatures: Mathematical and Algorithmic Applications of Linear Algebra
• Theoretical Computer Science: An Introduction (Univ Saarland)
• Bitcoin and Cryptocurrency Technologies

Graphics

• Dithering Algorithms

https://www.jyotirmoy.net/posts/2015-12-29-springer-openaccess.html

Competitive Prog

• https://cses.fi/book.pdf

Other People’s Reading Lists

• https://gist.github.com/macintux/6227368
• https://gist.github.com/stfairy/4076899
• https://gist.github.com/nickloewen/10565777
• https://github.com/junhyukoh/deep-reinforcement-learning-papers
• http://dancres.github.io/Pages/
• Ask HN: Primer on Cryptocurrencies
• Fermat’s Library
• Ask HN: Good Papers for Beginners
• https://www.anmolsarma.in/post/books-2015/

Tutorials

• How to make an OS
• Write your own blockchain

other

• Lasers FAQ
• List of “Awesome Things” including papers
• Ask HN: What language-agnostic programming books should I read?

Business

• Who Says Elephants Can’t Dance? (IBM Turnaround)

Courses

• Stat Learning Theory - 281B (Jordan)
• Digital Photography - Stanford
• Ask HN: What are the best MOOCs you’ve taken?

History

• https://www.nytimes.com/2016/10/02/opinion/sunday/if-i-sleep-for-an-hour-30-people-will-die.html

Job

PM

• https://hackernoon.com/acing-your-product-manager-interview-e4f163408cef

Compensation

• http://fortune.com/2016/09/27/the-complete-guide-to-understanding-equity-compensation-at-tech-companies/

TODO

TO Read Eventually http://plindenbaum.blogspot.com/2012/11/visualizing-dependencies-of-makefile.html http://linux.die.net/lkmpg/x769.html [read write a proc file]

https://events.linuxfoundation.org/sites/events/files/slides/petazzoni-device-tree-dummies.pdf

https://www.nccgroup.trust/us/about-us/newsroom-and-events/blog/2012/september/details-on-the-crime-attack/

http://googleprojectzero.blogspot.com/

http://wifi-insider.com/wlan/wmm.htm (wmm/802.11 primer)

https://fgiesen.wordpress.com/2014/07/07/cache-coherency/ (cpu cache coherency) and