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Alex Lawton에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alex Lawton 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Sergio Gómez Colmenarejo · Staff Research Engineer en DeepMind // Bedrock @ LAPIPA_Studios

58:40
 
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Manage episode 295909573 series 2898794
Alex Lawton에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alex Lawton 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Bedrock is a boutique Data Science & AI practitioner and our podcast "Data Stand-up" is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements.
In this episode, Jesús talks to Sergio Gómez, Staff Research Engineer at Deepmind. Sergio studied Computer Science at the Autonomous University of Madrid obtaining one of the best records and being recognised with the Professor Javier Martínez award to the best student. He also completed a master of science in computational statistics and machine learning at the London´s Global University. He started his professional activity at the Institute of Engineering and Knowledge in Madrid, he was also briefly in Dunnhumby in London to later start his stage in Deepmind where he has been for more than 7 years.
In this call, Jesús talks to Sergio about his arrival at the company shortly before being acquired by Google, his professional development within it, and the most important challenges he has faced since his inception in the world of data and artificial intelligence.
Deepmind is a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in AI. They´re always been fascinated by human intelligence – it shaped the modern world we live in today. Intelligence allows us to learn, imagine, cooperate, create, communicate, and so much more. By better understanding different aspects of intelligence, they can use this knowledge as inspiration to build novel computer systems that learn to find solutions to difficult problems on their own.
  continue reading

44 에피소드

Artwork
icon공유
 
Manage episode 295909573 series 2898794
Alex Lawton에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alex Lawton 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Bedrock is a boutique Data Science & AI practitioner and our podcast "Data Stand-up" is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements.
In this episode, Jesús talks to Sergio Gómez, Staff Research Engineer at Deepmind. Sergio studied Computer Science at the Autonomous University of Madrid obtaining one of the best records and being recognised with the Professor Javier Martínez award to the best student. He also completed a master of science in computational statistics and machine learning at the London´s Global University. He started his professional activity at the Institute of Engineering and Knowledge in Madrid, he was also briefly in Dunnhumby in London to later start his stage in Deepmind where he has been for more than 7 years.
In this call, Jesús talks to Sergio about his arrival at the company shortly before being acquired by Google, his professional development within it, and the most important challenges he has faced since his inception in the world of data and artificial intelligence.
Deepmind is a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in AI. They´re always been fascinated by human intelligence – it shaped the modern world we live in today. Intelligence allows us to learn, imagine, cooperate, create, communicate, and so much more. By better understanding different aspects of intelligence, they can use this knowledge as inspiration to build novel computer systems that learn to find solutions to difficult problems on their own.
  continue reading

44 에피소드

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