Khipu 2021 – July Event

Khipu 2021

event series in

Artificial Intelligence

Khipu 2021 Event Series are monthly online meetings to support the advancement of AI talent in Latinamerica. Each event will feature two sessions covering:

Conversations on AI – broad, wide ranging conversations with AI researchers, both from the region and the international community, exploring the most critical unsolved problems in AI today.

Applications of AI – deep dives into examples of AI applications in the real world, with emphasis on state of the art work done by Latin American researchers or applications that are particularly relevant to the region.

NEXT EVENT:

A fireside chat with Geoffrey Hinton and Oriol Vinyals

Tuesday, July 27th

15h00

— Mexico DF (UTC -5)

16h00

— Santiago (UTC -4)

17h00

— Brasilia (UTC -3)

Speakers

Geoffrey

Geoffrey

Hinton

Geoffrey Hinton is a fellow of the Canadian Institute for Advanced Research, an emeritus professor at the University of Toronto, a VP Engineering fellow at Google and Chief Scientific Adviser at the Vector Institute. He was one of the researchers who introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning and deep learning. His research group in Toronto made major breakthroughs in deep learning that revolutionized speech recognition and object classification.

Geoffrey Hinton is a fellow of the UK Royal Society and a foreign member of the US National Academy of Engineering and the American Academy of Arts and Sciences. His awards include the David E. Rumelhart prize, the IJCAI award for research excellence, the Killam prize for Engineering, the IEEE Frank Rosenblatt medal, the NSERC Herzberg Gold Medal, the IEEE James Clerk Maxwell Gold medal, the NEC C&C award, the BBVA award, the Honda Prize and the Turing Award.

Oriol

Oriol

Vinyals

Oriol Vinyals is a Principal Scientist at DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award.

His research has been featured multiple times at the New York Times, Financial Times, WIRED, BBC, etc., and his articles have been cited over 100,000 times. Some of his contributions such as seq2seq, knowledge distillation, or TensorFlow are used in Google Translate, Text-To-Speech, and Speech recognition, serving billions of queries every day, and he was the lead researcher of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft, achieving Grandmaster level, also featured as the cover of Nature.

At DeepMind he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, deep learning and reinforcement learning.

Past Events:

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