[B급 프로그래머] 6월 2주 소식(빅데이터/인공지능, 읽을거리 부문)

(오늘의 짤방: 프로그래머가 보는 반이 찬 물잔 @InfoQ)

1. 빅데이터/인공지능
   • Data Science Workflow: Overview and Challenges
   • SK이노베이션, 업계 첫 '스마트 플랜트' 도입
   • '스마트'해야 살아남는다…탈바꿈하는 철강업계
   • (Tesla) Full Self-Driving Hardware on All Cars
   • DeepMind Open Source Datasets
   • Google releases new TensorFlow Object Detection API
   • [Start-up] 구글의 알파고 뛰어넘는 새로운 인공지능 만든다
   • 알파고 채용한 현대제철, '꿈의 자동차 강판' 뽑아냈다
   • Deep Learning AMI, AWS 서울 리전 출시
   • MNIST FOR ML BEGINNERS: THE BAYESIAN WAY
   • Scaling Machine Learning to Modern Demands
   • Benchmarking CNTK on Keras: is it Better at Deep Learning than TensorFlow?
   • ImageNet: VGGNet, ResNet, Inception, and Xception with Keras
   • This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
   • DLTK is a neural networks toolkit written in python, on top of Tensorflow.
   • The Automation Paradox
   • "더 빠르고, 더 간편하게" 딥 러닝의 미래
   • 딥러닝 기반 기상 예측 모델 연구 사례 (1) : Convolutional LSTM
   • guild.ai - Real time TensorFlow™ visualization
   • “데이터 입력, 지능 출력” 알기 쉽게 설명하는 머신러닝 파이프라인
   • 유영민 미래부 “실체 있는 4차 산업혁명 만들겠다”
   • Can Neural Networks Crack Sudoku?
   • Top 20 Python Machine Learning Open Source Projects, updated
   • ENGINEERING EXTREME EVENT FORECASTING AT UBER WITH RECURRENT NEURAL NETWORKS
   • DeepMind Shows AI Has Trouble Seeing Homer Simpson's Actions
   • Microsoft Machine Learning for Apache Spark
   • Six Points On The Map Of Emerging Tech
   • '더 쉽고 빠르게' 딥러닝의 다음 행보는?
   • Generative Adversarial Networks for Beginners
   • [A.I. Plus] 우리나라 A.I. 기업 현황 조사 보고서 Ver 1.0
   • 머신러닝 시스템 프로세스와 아키텍쳐
   • Exploring LSTMs
   • 텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
   • '인더스트리 4.0을 향해' 산업용 IoT에 필요한 5가지 기술력
   • RNN을 이용한 한글 자동 띄어쓰기
   • Google Brain Residency
   • AI will be able to beat us at everything by 2060, say experts
   • Audi is the first to test autonomous vehicles in New York
   • (한글 번역) Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN)
   • Tuning Your DBMS Automatically with Machine Learning
   • Q&A with Greg Kurtzer from the GPU Technology Conference
   • Singularity containers let users run applications in a Linux environment of their choosing.
   • An Introduction to the CAN Bus: How to Programmatically Control a Car
   • The End of Human Doctors – The Bleeding Edge of Medical AI Research (Part 2)
   • You can probably use deep learning even if your data isn't that big
   • Experts Predict When Artificial Intelligence Will Exceed Human Performance
   • Using Stanford CoreNLP from the command line
   • 3Blue1Brown: 멋진 수학 채널(유튜브)
   • Alphabet’s Waymo begins testing self-driving trucks
   • Easily visualize cnn layer activations and filters on tensorboard.
   • What Intelligent Machines Need to Learn From the Neocortex
   • DeepFix: Fixing Common C Language Errors by Deep Learning
2. 읽을거리
   • If you can’t explain something in simple terms, you don’t understand it
   • The purpose of life is to be a nobody
   • 회사를 떠나는 것이 아니다. 상사를 떠나는 것이다.
   • Modifying Microsoft Flight Simulator 4 to run on three immersive monitors
   • The lost genius of the Post Office
   • ‘신뢰가 모자랍니다’
   • Why You Can’t Help But Act Your Age - The surprising relationship between mindset and getting old.
   • A Mathematician's Secret: We're Not All Geniuses
   • 서경배의 성공을 부른 습관 3가지
   • 잔디밭 밟는 것 막고 싶다고? 한가운데 길을 내라
   • [36.5] 시간 빈곤자들의 도시
   • How highly advanced hackers (ab)used satellites to stay under the radar
   • How not to build a ship: the USS Ford
   • Cache: A Place for Concealment and Safekeeping
   • "매일 10분이라도 글 써야 생각을 하게 돼"
   • [만물상] "써야 생각한다"
   • 이직에 대한 단상
   • 블록체인은 성능이 개판인가?
   • The IBM PC, Part 1
   • Unlimited Horizons: Design and Development of the U-2
   • Popular People Live Longer
   • [카드뉴스] 세계 최대 방산업체가 만든 비행 시뮬레이션 게임
   • John Grisham’s Do’s and Don’ts for Writing Popular Fiction

(보너스: 대체되는 인간 직업 via @gaddongyi)

EOB