Kyunghyun Cho Associate Professor, Computer Science & Data Science, New York University CIFAR Fellow, Learning in Machines & Brains Kyunghyun Cho is an associate professor of computer science and data science at New York University and CIFAR Fellow of Learning in Machines & Brains. He is also a senior director of frontier research at the Prescient Design team within Genentech Research & Early Development (gRED). He was a research scientist at Facebook AI Research from June 2017 to May 2020 and a postdoctoral fellow at University of Montreal until Summer 2015 under the supervision of Prof. Yoshua Bengio, after receiving PhD and MSc degrees from Aalto University April 2011 and April 2014, respectively, under the supervision of Prof. Juha Karhunen, Dr. Tapani Raiko and Dr. Alexander Ilin. He received an honour of being a recipient of the Samsung Ho-Am Prize in Engineering in 2021. He tries his best to find a balance among machine learning, natural language processing, and life, but almost always fails to do so.rning, natural language processing, and life, but almost always fails to do so. Participant In: Coding and the New Human Phenotype October 15-16, 2022 Past Event From the level of DNA to that of phenotype, life may be viewed as an articulation of code. Within such a model, phenotypes are a kind of abstraction of the DNA code. Starting with the genome, the DNA winds its way through RNA, proteins, and cellular process outward into the world beyond, and in the… read more » Coding and the new Human Phenotype: Are Natural Language Generators for Real? October 16, 2022 at 11:00am EST Past Event Watch the video » The program GPT-3 can create language that gives the impression that it is thinking. What will our interaction with robots of greater and greater verbal agility mean in the near future? What sort of Other will these robots become, evolve to? Is awareness of a code incompatible with any form of realism, and what does… read more »
Coding and the New Human Phenotype October 15-16, 2022 Past Event From the level of DNA to that of phenotype, life may be viewed as an articulation of code. Within such a model, phenotypes are a kind of abstraction of the DNA code. Starting with the genome, the DNA winds its way through RNA, proteins, and cellular process outward into the world beyond, and in the… read more »
Coding and the new Human Phenotype: Are Natural Language Generators for Real? October 16, 2022 at 11:00am EST Past Event Watch the video » The program GPT-3 can create language that gives the impression that it is thinking. What will our interaction with robots of greater and greater verbal agility mean in the near future? What sort of Other will these robots become, evolve to? Is awareness of a code incompatible with any form of realism, and what does… read more »