26 June 2018
Leading minds in artificial intelligence will come together for an evening of networking and discussions as we hear keynote presentations from leading female pioneers exploring their latest work in the AI space. Join us for a three course meal as we support women in tech, AI and machine intelligence
28 - 29 June 2018
The Deep Learning for Robotics Summit brings together influential researchers, disruptive startups, and leading robotic companies to explore how we can improve robotic skills via applied deep learning. Advancements in reinforcement learning, unsupervised learning, computer vision and progressive neural networks are impacting robot development. Deep Learning advancements plus, robot manufacturer innovations will create the next generation of skilled robotics impacting our world.
28 - 29 June 2018
The AI in Industrial Automation Summit brings together influential industry leaders, startups to watch, and pioneering researchers to explore accelerating trends in artificial intelligence. Advancements in subfields of AI; Machine Learning & Deep Learning, are leading to a fourth industrial revolution. In fact, it's already here. How will AI and automation impact industry, and how can you apply ML & DL to increase efficiency and quality in your business?
11 July 2018
Leading minds in artificial intelligence will come together for an evening of networking and keynote presentations. After each course, we'll hear short talks from experts, followed by Q&A and discussions throughout the meal. Join us for a three course meal to support women in AI and Machine Intelligence. The dinner is open to anyone keen to support advancing women in the industry!
29 August 2018
Large amounts of data are required for machine learning, which of course means there's an increased potential for breaches. The terms 'Privacy' and 'Security' are constantly in the media, but what's the difference between the two, and why should we be concerned? Join this Webinar to learn more about the privacy and security concerns where we'll cover current threats, frameworks and regulations, the role of AI in enhancing privacy, preparing for the future, as well as case studies from industry. We will also be releasing a White Paper on the topic this August which will be made available for download when you register for the Webinar.
06 - 07 September 2018
The AI in Finance Summit brings together data scientists, engineers, CTOs, CEOs & leading financial corporations to explore the impact of machine learning & 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.
20 September 2018
Following day 1 of the summit, attendees will come together for an evening of networking, discussions and fine food & wine. Mix with leaders on topics including NLP, speech recognition, reinforcement learning and image analysis, as well as applications in sectors including manufacturing, transport, healthcare, finance and security.
20 - 21 September 2018
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.
20 - 21 September 2018
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.
25 - 26 October 2018
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?