[B급 프로그래머] 3월 소식(빅데이터/인공지능, 읽을거리 부문)

(오늘의 짤방: The heart of math.♥️ via @abakcus)

1. 빅데이터/인공지능
   • Big Tech & Their Favourite Deep Learning Techniques
   • MLOps and DevOps: Why Data Makes It Different
   • A New Link to an Old Model Could Crack the Mystery of Deep Learning
   • Nowcasting the next hour of rain
   • Untangling the Mysteries of Qubits
   • Predicting Time to Cook, Arrive, and Deliver at Uber Eats
   • Microsoft Releases DialogGPT AI Conversation Model
   • Michael Berthold on End-to-End Data Science Using KNIME Software
   • The Economics of Data Businesses
   • Data diffs: Algorithms for explaining what changed in a dataset
   • Why We Use Julia, 10 Years Later
   • Andrew Ng: Unbiggen AI The AI pioneer says it’s time for smart-sized, “data-centric” solutions to big issues
   • 스프레드시트가 비즈니스를 망치는 5가지 이유
   • 공공 데이터의 영향력 확대에 앞서 해결해야 할 과제들
   • Anatomy of an AI System
   • A visual introduction to machine learning
   • Deep Learning Is Hitting a Wall
   • S.E.P.I.A. - Your own digital voice-assistant
   • 인간의 직감을 추월하다··· 2022년 기업 분야 AI 동향 10가지
   • 에어 캐나다, ‘데이터 애널리틱스’로 더 높게 날아오르다
   • The Neurologist Who Hacked His Brain—And Almost Lost His Mind
   • How to protect your machine learning models against adversarial attacks
   • Beethoven never finished his 10th Symphony. Computer scientists just did
   • Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model
   • 사람이 의견 바꿀 때 뇌에선 무슨 일 벌어지나?
   • Huemint uses machine learning to create unique color schemes for your brand, website or graphic
   • 구글, 자율주행에서 물체 감지 기술 공개…”빈틈이 없네”
   • AI and Machine Learning Salaries Drop But average U.S. tech salaries climbed nearly 7 percent in 2021
   • DeepETA: Uber가 딥러닝으로 도착시간을 예측하는 법
   • AT LAST, A SELF-DRIVING CAR THAT CAN EXPLAIN ITSELF
   • 쏘카의 데이터 디스커버리 플랫폼 도입기
   • Using AI to bring children’s drawings to life
   • Neural Instrument Cloning from very few samples
   • Shazam은 어떻게 동작하는가? (cameronmacleod.com)
   • Introducing TorchRec, a library for modern production recommendation systems
   • Goopt is an experiment in what the "procedural web" could be.
   • The Four Innovation Phases of Netflix’s Trillions Scale Real-time Data Infrastructure
   • Machine Learning is Still Too Hard for Software Engineers
   • 액센츄어, 자율주행의 재부팅
   • ‘라이더 Vs 레이더 戰’에 소환된 테슬라
   • The US Copyright Office says an AI can’t copyright its art
   • New Study Disavows Marshmallow Test’s Predictive Powers
   • Neural nets are not "slightly conscious," and AI PR can do with less hype
   • New atomic clock loses only one second every 300 billion years
   • List of Life-like cellular automata
   • 로봇의 분류와 역사, 국가/분야별 로봇 시장 현황 (140p PDF)
   • '랭크브레인부터 MUM까지'··· 구글 부사장이 전하는 검색의 진화 이야기
   • RedisAI: Real-Time Model Management & Deployment for ML
   • THE CALORIE COUNTER - Evolutionary anthropologist Herman Pontzer busts myths about how humans burn calories—and why
   • How a 13-year-old used my artificial nose to diagnose pneumonia
   • 7 Must-Know Data Buzzwords in 2022
   • 카카오가 공개한 초거대 AI, 점수 과장됐다
   • My Approach to Automatic Musical Composition
   • Sci-Hub collected a database of 88,343,822 research documents, freely available for download.
   • Optimize AI/ML workloads for sustainability: Part 1, identify business goals, validate ML use, and process data
2. 읽을거리
   • The new silent majority: People who don't tweet
   • 문 여는 방향, 각기 다른 이유가 있다?!
   • Just Five - 하루를 시작하는 헤드라인 뉴스 다섯개 (justfive.news)
   • 식당/음식 블로그
   • [김지수의 인터스텔라] “왜 우리는 부패한 리더에게 표를 던지나” 英 최고 선거 전문가의 통찰
   • Are Sprouted Potatoes Safe to Eat?
   • 일본 도쿄 우에노 소재 국립과학박물관 VR
   • 딥마인드 MuZero AI가 유튜브 비디오 압축을 개선
   • Nuclear War Survival Skills (1987) [pdf]
   • Nuclear Explosion
   • Why did renewables become so cheap so fast?
   • DEFENDING THE CITY: AN OVERVIEW OF DEFENSIVE TACTICS FROM THE MODERN HISTORY OF URBAN WARFARE
   • Disaster planning for regular folks
   • 운동 좋다는 사실 알면서도 왜 안할까?
   • "오늘만 1억 손절"…'일등 증권맨'도 멘탈 털렸다 [박의명의 불개미 구조대]
   • 피터슨국제경제연구소(PIIE)의 한국 보고서
   • The Unreasonable Math of Type 1 Diabetes
   • [독서광] 아이디어 불패의 법칙(본인이 쓴 글)
   • What You Should Know About The Stock Market
   • 빛 밝히다 꺼져간 ‘한낱 일회용’ 전기 노동자
   • The Rule of 72
   • What to Know About the KF94 Mask
   • ‘중국공산당의 제갈량’ 왕후닝, ‘중국식 유신’을 설계하다
   • What have we got to lose?

보너스: 너무 당연히 초심자는 자기가 뭘 모르는지 모른다. 뭘 모르는지 알면 구글링 하거나 적임자에게 질문하면 되는데, 뭘 모르는지 모르니까 요점이 없을 수 밖에 없다. via @LearnerBR

EOB