인공지능의 이해와 활용 (2018년 가을)
Understanding Artificial Intelligence (Fall 2018)
Announcement
- 9월 3일(월) 개강
- 의과대학 제2의 201호
- Report template (PowerPoint)
- 성적 (질문이 있으면 메일로 연락)
Lecture Note
- 진화와 상상력의 역사 (사피엔스, 유발 하라리, 2015)
- Physical quantity and Atom, Molecule and Matter
- History of electromagnetics
- Neuron and neural network
- Vision
- Human and computer
- Curve fitting
- Probability
- Bayesian learning
- Information theory
- Knowledge representation and learning
- Optimization
- Artificial neural network
- 2045년 예측 (original report: Global strategic trends - out to 2045)
Supplementary Material
- 사피엔스: 인류의 현재와 미래에 대한 소크라테스적 물음 (서평, 4쪽)
- History of artificial intelligence (lecture note, 27 pages)
- Machine learning: the power and promise of computers that learn by example (report, 128 pages)
- Artificial intelligence and life in 2030 (report, 27 pages)
- Preparing for the future of artificial intelligence (report, 58 pages)
- Artificial intelligence, automation, and the economy (report, 55 pages)
- AI, machine learning and data fuel the future of productivity (report, 99 pages)
- Artificial intelligence: the next digital frontier? (discussion paper, 80 pages)
- Economic and labor force implications of AI (testimony, 15 pages)
- A Berkeley view of systems challenges for AI (technical report, 13 pages)
- When will AI exceed human performance? (paper, 21 pages)
- Energetics of the brain and AI (technical report, 10 pages)
- Ethics of artificial intelligence (paper, 21 ages)
꽃표
- 양혜림, 양혜림
Student Presentation (12/10)
- 강현묵, 김세헌, 문정현 (When will AI exceed human performance?)
- 이예빈 (A Berkeley view of systems challenges for AI)
- 양혜림, 박지영 (Preparing for the future of artificial intelligence)
- 김동규 (Ethics of artificial intelligence)
- 안재현, 심현석 (Energetics of the brain and AI)
- 강호진, 고성엽, 김세현 (Economic and labor force implications of AI)
- 박채근, 정상엽, 이일수 (Machine learning: the power and promise of computers that learn by examples)
Link
Python
Matlab
Student Presentation (2018년 1학기)
- 5/2(수): 조연수, 김수근, 강한결, 진건기 (A Berkeley view of systems challenges for AI)
- 5/9(수): 김정영, 조상현, 채종민 (Energetics of the brain and AI)
- 5/9(수): 양지수, 서유진, 이규성, 이상택, 박해원 (When will AI exceed human performance?)
- 5/14(월): 임효준, 이지민, 박유미, 박준우 (Economic and labor force implications of AI)
- 5/16(수): 이종환, 이드림 (Ethics of artificial intelligence)
- 5/21(월): 한승헌, 이민희, 남기훈, 안지윤 (Energetics of the brain and AI)
- 5/23(수): 심철용, 이지혜, 임은주, 허재원, Xiao Ruyyue (Artificial intelligence and life in 2030)
- 5/23(수): 강은지, 김영경 (AI, machine learning and data fuel the future of productivity)
- 5/28(월): 석진우, 이종률 (Ethics of artificial intelligence)
- 5/30(수): Zhang Tanye, Wu Xin, Lyu Shuxian, Ren Ziwei, Wang Chunwei (History of artificial intelligence)
- 5/30(수): 강병표, 김경민, 김소민, 이유진, 정가현, 정승욱 (When will AI exceed human performance?)
- 6/11(월): Feng Yihui, Leung Hiu Ching, Wang Wanying (Artificial intelligence and life in 2030)
- 6/11(월): 김동찬, 전예린 (Energetics of the brain and AI)
- 6/11(월): 정성화 (Artificial intelligence: The next digital frontier)
- 6/13(수): 박준영, 임성호, 강일구, 최하정, 김지수, 심혜민 (Artificial intelligence, automation, and the economy)
- 6/13(수): Meng Huanyan, Liu Chaoqi, Zhang Shaoda, Gong Qijie (When will AI exceed human performance?)
- Li Taifu, Li Zhixuan, Liu Renxin (Economic and labor force implications of AI)