Join global experts in Deep Learning to explore the breakthrough technologies in both research and business applications.
Join global experts in deep learning to explore the breakthrough technologies in both research and business applications.
The area of Machine Learning has come a long way in recent times. Hear from industry experts on the latest developments in RL.
Robotics is a particularly fast-moving subsector of AI with the development of previously unimaginable capabilities in the last few years. Hear from Robotics experts on the latest developments and future projects below.
With keynote presentations, fireside chats, interviews and more, the Deep Learning library collates the work of those pioneering change all in one place.
Applying ML & deep learning methods to create AI assistants, exploring how methods are being applied to improve efficiency and accuracy in applications.
Breakthrough techniques, theoretical advancements and business use case examples in retail & marketing from the leading minds in AI.
Hear the latest advancement from experts at Mozilla, Facebook, Microsoft, Samsung, UCL and more.
Discover how to optimize DevOps and enhance automation capabilities with Machine Learning.
How can artificial intelligence revolutionize government to increase efficiency, reduce costs, and help meet ever-increasing demands of the public sector? What are the key implementation challenges faced by government bodies? What best practice insights can government agencies share?
Discover how to harness advancements in AI to increase quality, safety & efficiency in industry.
Discover responsible and ethical approaches to developing AI for the common good.
Discover the latest AI tools & techniques and their application in the insurance sector.
Discover the latest AI tools & techniques and their application in the financial sector.
Explore the latest advancements in deep learning algorithms and models, and their most cutting-edge application in the financial sector. We hear from the likes of Monzo, Experian, BBVA and the University of Oxford on topics including stock market prediction, financial markets, algorithmic fairness and deep learning infrastructure.