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Paul Gascoigne takes part in ‘An Evening With’ event in Llanelli, Wales
4 years ago
Oriol Vinyals is a Principal Scientist and Deep Learning group lead at Google DeepMind, recognized for his contributions to Artificial Intelligence and machine learning applications.
Oriol Vinyals is a Principal Scientist at Google DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial ...
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 ...
In 2016 he joined the former DeepMind group (now Google DeepMind), where he has since been researching deep learning and artificial intelligence ...
Oriol Vinyals is a Principal Scientist at Google 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.
Vinyals's contributions to machine translation that drives Google Translate, to WaveNet, which is text to speech generation used by Google Assistant, and to the AlphaStar project
Vinyals's contributions to machine translation that drives Google Translate, to WaveNet, which is text to speech generation used by Google Assistant, and to the AlphaStar project
Vinyals's contributions to machine translation that drives Google Translate, to WaveNet, which is text to speech generation used by Google Assistant, and to the AlphaStar project, where an AI defeated human professionals in a game of StarCraft. The agent, known as AlphaStar, also reached grandmaster level when playing online, according to an article published October 30 in the journal Nature.
He is currently technical lead on Gemini, along with Noam Shazeer and Jeff Dean.
We talk about Google DeepMind, forming the Gemini project, and integrating AI technology throughout Google products. Oriol also discusses ...
A multi-agent AI system built with Gemini 2.0 as a virtual scientific collaborator to help scientists generate novel hypotheses and research proposals.
Oriol Vinyals, born in 1983 in Sabadell, Catalonia, Spain, is a prominent researcher in machine learning. He pursued his education in mathematics and telecommunication engineering at the Universitat Politècnica de Catalunya before moving to the United States. He obtained a Master’s degree in computer science from the University of California, San Diego, and a Ph.D. in EECS from the University of California, Berkeley in 2013, under the guidance of Nelson Morgan.
Vinyals’s career began with significant contributions to the Google Brain team. He co-invented the seq2seq model, a foundational development for machine translation. His work has profoundly impacted real-world applications, with concepts like seq2seq, knowledge distillation, and TensorFlow being integrated into Google Translate, Text-To-Speech, and speech recognition services, which collectively manage billions of queries daily. His expertise extends to serving as program chair for the International Conference on Learning Representations (ICLR) in 2017 and 2018, and as an area chair for multiple NeurIPS and ICML conferences.
Currently, Oriol Vinyals holds the position of Principal Scientist at Google DeepMind, where he leads the Deep Learning group. A highlight of his work at DeepMind includes leading the AlphaStar project, which developed an AI agent capable of defeating a top professional player in the game StarCraft II, achieving Grandmaster level. This achievement was featured on the cover of Nature. He was also a recipient of the 2016 MIT TR35 innovator award for his groundbreaking research. His work on the Gemini project, where he serves as a technical lead, further solidifies his influence in the field of AI, particularly in areas like machine learning, deep learning, and reinforcement learning.
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