N

Nando de Freitas

CEO

London, England, United Kingdom30 yrs 3 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in AI-driven music and image generation.
  • Led significant projects at Google DeepMind.
  • Strong academic background in AI and machine learning.
Stackforce AI infers this person is a leader in AI and machine learning innovation.

Contact

LinkedIn

Skills

Core Skills

Artificial IntelligenceDeep LearningComputer VisionGame DevelopmentMachine Learning

Other Skills

Algorithm DesignAlgorithmsBayesian statisticsComputational LinguisticsComputer ScienceData EngineeringData MiningImage ProcessingInformation ExtractionInformation TechnologyLaTeXMathematical ModelingMatlabMonte Carlo SimulationNatural Language Processing

About

I want to understand and harness intelligence Past projects: Bayesian optimisation, learning to learn, Neural Program Interpreters, Dueling net architectures for RL, Offline RL for robotics, AlphaGo tuning, Generalist AgenT One (GaTO), Reinforced Self Training (ReST), AlphaCode, Lyria music generation, Imagen 3 image generation, Veo video generation, recurrent-Gemma, Genie for controllable game generation …

Experience

Microsoft ai

Vice President of Artificial Intelligence

Sep 2024 – Present · 1 yr 6 mos · London Area, United Kingdom · On-site

Google deepmind

2 roles

Senior AI Director

Oct 2014 – Sep 2024 · 9 yrs 11 mos · On-site

  • I co-lead Google DeepMind's efforts on image, music, audio and video generation. Some of the outputs of our team include Lyria for music, and Imagen 2, as well as Genie and recurrent LLMs like Griffin. In the past, I was the senior lead for Gato, and co-sponsored AlphaCode and Flamingo. I believe in collaborative work, large scale modeling, focus on data, and clear metrics.

AI Lead

Sep 2014 – Sep 2024 · 10 yrs · On-site

Dark blue labs

Co-Founder

Apr 2014 – Sep 2014 · 5 mos · Oxford, United Kingdom

  • Learning deep structured and unstructured representations of data to make intelligent products, including natural language understanding, a reality.

University of oxford

Professor of Computer Science

Jun 2013 – Sep 2024 · 11 yrs 3 mos

  • Professor of Computer Science

Skytree, inc.

Consultant

Feb 2012 – May 2012 · 3 mos · San Jose, California

  • Building Machine Learning tech.

Aquatic informatics inc.

Consultant

Sep 2010 – Apr 2011 · 7 mos · Vancouver, Canada Area

  • Development of machine learning methods for time series prediction, anomaly detection, etc.

Canadian institute for advanced research

Fellow

Jan 2008 – Present · 18 yrs 2 mos · Canada

  • Neural Computation and Adaptive Perception

Zite, inc.

Advisor (2004-2011) and chief scientific officer (2008-2009)

Jan 2004 – Jan 2011 · 7 yrs

  • Zite was a spin-off from my lab at UBC. It was acquired by CNN and subsequently by Flipboard.

The university of british columbia

Professor

May 2001 – Jul 2014 · 13 yrs 2 mos · Vancouver, Canada Area

  • Machine Learning Professor

Uc berkeley

Postdoctoral fellow

Sep 1999 – Sep 2001 · 2 yrs

  • Artificial intelligence

University of cambridge

PhD candidate

Jan 1996 – Jan 2000 · 4 yrs

  • Bayesian statistics

Education

University of California, Berkeley

Postdoc — Artificial inteilligence

Jan 1999 – Jan 2001

University of Cambridge

PhD — Information engineering

Jan 1996 – Jan 2000

University of the Witwatersrand

Master of Science (M.Sc.)

Jan 1991 – Jan 1996

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