Sergio Gómez Colmenarejo · Staff Research Engineer en DeepMind // Bedrock @ LAPIPA_Studios

25 giu 2021 · 58 min. 39 sec.
Sergio Gómez Colmenarejo · Staff Research Engineer en DeepMind  //  Bedrock  @ LAPIPA_Studios
Descrizione

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...

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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.
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