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An evening of discussions & networking around the progress and application of machine intelligence within healthcare, medicine & diagnostics.


  • Original Nicola Davis

    Science Journalist

    The Guardian

  • Original Razia Ahamed

    DeepMind Health Group & Strategic Partnerships

    Google DeepMind

  • Original Alice Gao

    Research Scientist & Engineer

    Deep Genomics

  • Original Kathy McGroddy Goetz

    VP, Partnerships & Solutions

    IBM Watson Health

  • More Speakers Coming Soon

Why Attend

Top minds in Tech & Science

Over the course of the dinner, hear from leading female experts in Machine Intelligence and discuss the impact of AI sectors including machine learning, deep learning and robotics in healthcare. Attendees will establish new connections and network with peers including Founders, CTOs, Data Scientists and Medical Practitioners.

Champagne Reception & Dinner

Attendees will arrive to a Champagne reception, followed by 3 courses of seasonal modern British cuisine and wine to match and compliment the evening. After each course, we'll hear short talks from experts, followed by Q&A and discussions throughout the meal. We'll end the evening with coffee and petit fours.

Women in Artificial Intelligence

As an all-female company, RE•WORK is a strong advocate for supporting female entrepreneurs and women working towards advancing technology and science. The dinner is open to anyone keen to support advancing women in the industry! Attendees include industry, founders, investors and academia.

Topics We Cover

  • Deep Learning Algorithms

    Deep Learning Algorithms

  • Natural Language Processing

    Natural Language Processing

  • Personalised Medicine

    Personalised Medicine

  • Machine Learning

    Machine Learning

  • Diagnostics


  • Robotics


  • Healthcare


  • Women in Tech

    Women in Tech

confirmed attendees include

  • bupa
  • Kings college london
  • DeepMind
  • lloyds online doctor
  • UCL
  • Omixy
  • nhs
  • Playfair capital
  • loughborough uni
  • Gluru
  • shionogi
  • uni of liverpool



Located just off Grosvenor Square (entrance on South Audley Street) in the heart of Mayfair, 34 has become a modern-day classic since it opened in November 2011.

The Emin Room is located above 34 and houses specially commissioned art by celebrated artist Tracey Emin.


This event is in the past. View upcoming events here.


Sponsored by

Exhibitors & Startup Showcase Area

Media Partners & Press

What they say


Chief Knowledge Officer, NASA

"Excellent event. Good combination of highly technical and broader presentation that gave me a good understanding of the current state and potential of the Deep Learning" RE•WORK Deep Learning Summit San Fran 2015


Director of IoT Market Strategy, Xively

"'I’ve been to countless IoT events, and this was hands down one of the most interesting. It was nice to see actual people building actual connected products giving their perspective." RE•WORK IoT Summit Boston 2015


Future & Emerging Technologies Unit

"RE•WORK provided a unique mix of technology, from the exploration of latest scientific findings to startups that can make them a reality" RE•WORK Technology Summit London 2014

Featured In

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Future Events

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Deep Learning in Finance Summit Singapore

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The Deep Learning in Finance Summit is a multidisciplinary event bringing together data scientists, engineers, CTOs, CEOs & leading financial corporations to explore the impact of deep learning in the financial sector. Applications include identifying and preventing risks, revolutionising financial forecasting & compliance. Explore the latest technology trends & innovations with influential research scientists, startups & business leaders across the industry.

Deep Learning in Healthcare Summit Boston

25 May 2017, Boston

The Deep Learning in Healthcare Summit will explore recent breakthroughs in technical advancements and healthcare applications, from algorithms that learn to recognise complex patterns within rich medical data, to analysing real world evidence for personalised medicine, to discovering the sequence specificities of DNA- binding proteins and how it can aid genome diagnostics.


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