AI는 지난 수년간 학계 및 산업계에서 가장 많은 관심과 연구 지원을 받았으며, AI 관련 논문이 발표되고 AI가 적용된 제품과 서비스가 전세계적으로 앞다투어 출시되고 있습니다. 이에 AI와 관련 있는 분들이 함께 모여 기술과 발전의 경험을 나누며 최신 연구 내용과 방향성을 공유하는 장을 마련하고자 컨퍼런스를 개최하게 되었습니다. 꼭 참석하셔서 새로운 아이디어와 경험을 얻어갈 수 있기를 기대합니다.
AWS ML & EnginesBratin Saha VP and GM of Machine Learning Platforms in the Amazon AI team
Bratin Saha is the Vice President and General Manager of Machine Learning Platforms in the Amazon AI team. His team is responsible for creating the services and capabilities that power the AWS Machine Learning Platform. Prior to Amazon he worked at Nvidia and Intel leading different product groups spanning imaging and analytics, media proc essing, high performance computing, and software infrastructure. He is an alumnus of Harvard Business School (General Management Program), Yale University (PhD Computer Science), and Indian Institute of Technology (BS Computer Science). He has more than 70 patents granted (with another 50+ pending) and more than 30 papers in conferences/journals.
실 세계 인공지능 : 새로운 도전과 무한한 기회장병탁 서울대 컴퓨터공학부 교수 / 인지과학/뇌과학 협동과정 겸임교수 / Posco 석좌교수
서울대학교 컴퓨터공학부 POSCO 석좌교수이며, 인지과학/뇌과학 협동과정 겸임교수이다. 한국정보과학회 인공지능소사이어티 초대회장, 서울대학교 인지과학연구소장, 한국인지과학산업협회 회장을 역임한 바 있다. 독일 국립정보 기술연구소 선임연구원으로 근무하였고, 2003년 MIT 인공지능연구소(CSAIL) 및 뇌인지과학과 초빙교수를 역임하였으며, 스스로 학습하고 추론하는 자율지능 에이전트 연구와 뇌정보처리 구조와 기능을 닮은 인지 로봇 개발에 주력하고 있다.
The Future of Decision Making김동호 Co-Founder, CTO in PROWLER.io
Dongho Kim is a co-founder and chief technology officer at PROWLER.io. Prior to his current role, he was part of VocalIQ which was acquired by Apple in 2015, where he did research on reinforcement learning for spoken dialogue systems. Previously, he was a postdoctoral researcher at Cambridge University Engineering Department. Dongho holds a PhD in Artificial Intelligence and a Bachelor’s degree both in Computer Science and Mathematics, from Korea Advanced Institute of Science and Technology (KAIST). His research interests are various fields of machine learning and in particular decision making under uncertainty via reinforcement learning and POMDPs.
Faster Reinforcement Learning via TransferJohn Schulman Research Scientist at Open AI
John is a research scientist at OpenAI and member of the founding team. He co-developed some of the most widely used reinforcement learning algorithms (TRPO and PPO) and software packages (OpenAI Gym and Baselines). He received a PhD in CS from UC Berkeley and a BS in Physics from Caltech. He was selected as one of MIT Technology Review’s ‘35 Innovators Under 35’ in 2018.
Learning Abstraction RepresentationsDavid Ha Research Scientist at Google Brain
David is a Research Scientist at Google Brain. His research interests include Recurrent Neural Networks, Creative AI, and Evolutionary Computing. Prior to joining Google, He worked at Goldman Sachs as a Managing Director, where he co-ran the fixed-income trading business in Japan. He obtained undergraduate and graduate degrees in Engineering Science and Applied Math from the University of Toronto.
Multimodal Deep Learning김진화 Research Scientist at SK T-Brain
Jin-Hwa is Research Scientist at SK T-Brain. He has been studying multimodal deep learning focused on visual question answering and other related topics. In 2017, he received Google PhD Fellowship in Machine Learning, and PhD Completion Scholarship by Seoul National University. He was Research Intern at Facebook AI Research (Menlo Park, CA) mentored by Yuandong Tian from January to May in 2017. In 2018, he received PhD degree from Seoul National University under the supervision of Professor Byoung-Tak Zhang. He was Software Engineer at SK Communications from 2011 to 2012.
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