Lecturer, Medical Image Computing
Imperial College London
Professor of Machine Learning & Computational Biology
University of Sheffield
CEO & Co-Founder
NIHR Clinician Scientist
Moorfields Eye Hospital
Senior Research Scientist
Associate Professor of Mathematics
Director of Innovation Commercialization
Post Doctoral Scientist
Founder & Head of Innovation
University of Oxford
University of Oxford
Machine Learning Lead
Ieso Digital Health
Co-Founder & CSO
Senior Research Associate
University of Newcastle
Imperial College London
Co-Founder & CEO
Digital Health Manager
Business Development Lead
New medical artificial intelligence (AI) app Ada combines technological innovation with personalised health care. Acting as a sophisticated personal health companion, Ada can assess patients’ symptoms, track individuals’ health progress, and share data with doctors.
OxSight built and is testing augmented reality glasses to help the visually impaired recognize and navigate objects in their environment. Think of it as a hearing aid for the blind. It is a potential replacement for canes and seeing-eye dogs.
Insilico Medicine launched aging.AI, a system allowing users to guess their age and gender by entering the results of their blood test. The system is focused on gamification of consumer blood testing and attracting the attention of the general public to the importance of periodic blood tests.
Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the healthcare sector. Learn from the experts in speech & text recognition, neural networks, image classification and machine learning.
The summit will showcase the opportunities of advancing methods in deep learning and their impact across healthcare & medicine. Discover the deep learning tools & techniques set to revolutionise healthcare applications, medicine & diagnostics from a global line-up of experts.
A unique opportunity to interact with industry leaders, data scientists, founders, CTOs and healthcare professionals leading the deep learning revolution. Learn from & connect with 200+ innovators sharing best practices to advance the deep learning in healthcare revolution.
Clinical Patient Care
LSO St Luke's is an 18th-century Grade 1 listed beautifully restored Hawksmoor church. A stylish and sophisticated venue renowned for its' atmospheric setting, it's the perfect place to be inspired and start creative discussions. The venue is fully accessible.
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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
22 November 2017, London
Leading minds in healthcare and machine intelligence will come together for an evening of networking and keynote presentations around tools & techniques set to revolutionise healthcare applications, medicine & diagnostics. Join us for a three course meal to support and showcase women in Healthcare and Machine Intelligence.
23 January 2018, San Francisco
Leading minds in machine intelligence will come together for an evening of networking and keynote presentations. Join us for a three course meal to support women in AI and Machine Intelligence.
25 January 2018, San Francisco
The Deep Learning Summit is the next revolution in artificial intelligence. The increasingly popular branch of machine learning explores advances in methods such as image analysis, speech and pattern recognition, natural language processing, and neural network research. This summit will explore how deep learning algorithms and methods are being applied to solve challenges in industries including healthcare, manufacturing, transport, security and communications.