[B급 프로그래머] 4월 1주 소식(빅데이터/인공지능, 읽을거리 부문)

(오늘의 짤방: 영응 via @ggu_mul)

1. 빅데이터/인공지능
   • Open sourcing Sonnet - a new library for constructing neural networks
   • Tableau switches to subscription pricing for its BI products
   • TensorFlow Basic Tutorial Labs - Framework zoo!
   • Neural Networks and Deep Learning을 정리한 파일: Neural Networks and Deep Learning 사이트는 이미 소개한 적이 있음.
   • 구글 AI 칩 성능 보고서 발표…소비전력당 성능 최대 80배
   • Quantifying the performance of the TPU, our first machine learning chip
   • In-Datacenter Performance Analysis of a Tensor Processing Unit​
   • First In-Depth Look at Google’s TPU Architecture
   • Practicing Machine Learning with Optimism
   • Open Data for Deep Learning
   • AI가 정신줄을 놓으면?··· 오싹하면서도 흥미로운 10가지 이야기
   • Using Deep Learning Technologies IBM Reaches a New Milestone in Speech Recognition
   • Building Pipelines for Heterogeneous Execution Environments for Big Data Processing
   • How P&G and American Express Are Approaching AI
   • Daimler and Bosch: fully autonomous cars within 5 years
   • Why Momentum Works
   • The customer is always wrong: Tesla lets out self-driving car data – when it suits
   • Linear algebra(한국어)
   • 4차 산업혁명과 지능정보사회의 정책과제 100선
   • There's No AI (Artificial Intelligence) without IA (Information Architecture)
   • Inside chatbots’ year of growing pains: ‘We’re at an inflection point’
   • At BlackRock, Machines Are Rising Over Managers to Pick Stocks
   • Data Preprocessing vs. Data Wrangling in Machine Learning Projects
   • OSIA S&TR Journal - 자율 주행 차량
   • THE ARRIVAL OF ARTIFICIAL INTELLIGENCE
   • 텐서보드(TensorBoard) 시작하기
   • 히타치, 인공지능 실시간 영상 인물 탐지 및 추적 시스템 개발
   • An Overview of Python Deep Learning Frameworks
   • Uber Suspends Tests of Self-Driving Vehicles After Arizona Crash
   • Uber self-driving car crashes during US tests
   • JavaScript(Node.js) 로 MNIST 데이터를 읽어서 로칼 이미지로 저장해 주는 예제
   • Faster R-CNN 정리
2. 읽을거리
   • 컨텐츠 세대 차이 연표
   • “지난해 국내 서버 시장 3.6% 성장한 1조 307억 원 규모”
   • 대식가를 위한 1차, 2차 술집
   • 폰카 미워요, 디카의 눈물
   • Coal Is on the Way Out at Electric Utilities, No Matter What Trump Says
   • Where will UX design be in 5 years? 5 Predictions
   • Apple Plans to Develop a Fully Custom GPU Architecture
   • Formula 1: A technical deep dive into building the world’s fastest cars
   • 기술이 세상을 바꾸는 순간
   • How Uber Uses Psychological Tricks to Push Its Drivers’ Buttons
   • Noise Is a Drug and New York Is Full of Addicts
   • “이런 걸 연구해봐야 밥이 나오냐 쌀이 나오냐” 하던 어떤 연구의 말로 (전편)
   • Cancer Isn’t a Logic Problem
   • PANTONE Digital Wallpaper
   • Job satisfaction survey says tech, while bad, is better than other industries for women
   • 단순함과 복잡함의 겉과 속을 함께 사랑한 수학자, 논리퍼즐의 대부
   • Spacecraft Power
   • The Genius of Pinheads: When Little Brains Rule​
   • TED CHIANG’S SOULFUL SCIENCE FICTION
   • 'Trash-80' escapes the dustbin of history with new TRS-80 emulator
   • GOLDMAN SACHS: 5 practical uses for blockchain — from Airbnb to stock markets
   • 미래부, SW중심대학에 경희대 등 6개大 신규 선정
   • 인텔 차세대 옵테인 SSD 4월 24일 출시 확정…M.2 폼팩터로 고속 캐시 역할
   • Insanity Is Doing the Same Thing Over and Over Again and Expecting Different Results
   • Staying Rich Without Manufacturing Will Be Hard
   • Not Leadership Material? Good. The World Needs Followers.
   • How Aristotle Created the Computer
   • Apollo 1, Challenger, and Columbia: Remembering NASA’s lost astronauts
   • [WEEKLY BIZ] 세계 시장 80% 점유한 후지산의 노란 戰士

(보너스)