Previous speakers listed below. The full speaker line up will be announced shortly. View the previous Machine Intelligence Summit here.
Speech Evangelist at dawin gmbh & PhD Researcher
University of Cambridge
Max Planck Institute for Brain Research
Co-Founder & CTO
Spanish Institute of Oceanography
Head, Research & Development
Unraveling the connectivity maps between nerve cells in brains is a huge scientific endeavor – called connectomics. The main limitation to mapping large parts of the brain is the analysis of the data obtained with electron microscopes.
Bay Labs are working to increase quality, value and access to medical imaging by combining deep learning and ultrasound. They believe that combining deep learning with ultrasound has the potential to transform the practice of medicine.
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.
EyeEm, the social photo-sharing community and marketplace, has unveiled a clever new technology that lets photographers upload their images and run them through an algorithm for instant keywording and aesthetic ranking.
Discover advances in machine learning and artificial intelligence from the world's leading innovators. Learn from the industry experts in speech & image recognition, natural language processing and computer vision. Explore how AI will impact transport, manufacturing, healthcare, retail and more.
The summit will showcase the opportunities of advancing trends in machine learning and their applications in business and society. Machine intelligence is enabling applications including virtual assistants, robots to help assisted living, and identifying items in videos. What else can it solve?
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine intelligence revolution. Learn from & connect with 250+ industry innovators sharing best practices to advance machine learning and AI impact and opportunities.
Natural Language Processing
Venue details to be announced shortly.
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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
27 April 2017, Singapore
The Deep Learning Summit is the next revolution in artificial intelligence. Explore the impact of image & speech recognition as a disruptive trend in business and industry. How can multiple levels of representation and abstraction help to make sense of data such as images, sound, and text. Hear the latest insights and technology advancements from industry leaders, startups and researchers.
27 April 2017, Singapore
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.
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.