About the Event:

The Machine Intelligence Summit is where machine learning meets artificial intelligence. Industry experts, leading academics and innovative startups will explore how intelligent machines make sense of data in the real world and their impact on healthcare, retail transport, manufacturing and more.

Topics Covered include:

– Natural Language Processing

– Computer Vision

– Cyber Security
– Neural Networks

– IoT

– Pattern Recognition

Don’t miss these presentations:

• Damian Borth, Director of Deep Learning Competence Center at DFKI will explore the Latent Visual Space Between Adjectives with Generative Adversarial Networks‘
• Neal Lathia, Senior Data Scientist at Skyscanner will delve into Recommender Systems for the Travel Industry to show how localised and personalised recommendation affects user engagement.
• Panagiotis-Alexandros Bokaris, Augmented Reality Engineer at L’Or’al will present Beauty Personalization in Augmented Reality and Connected Devices
• Roland Vollgraf, Research Lead at Zalando Research will introduce Fashion DNA – a Structural Feature Mapping of Fashion Articles based on Deep Neural Networks.

Confirmed attendees include:

Nestl’
CTOs

IBM

CEOs

Airbus

Data Scientists

Accel

Investors

Beckhoff

Founders

Join us to learn about the latest advancements in Machine Intelligence through thought-provoking presentations and panel discussions and try your hand at the NVIDIA DIGITS Image Classification‘Workshop. See the full event schedule here.

The NVIDIA workshop is designed to help you get started with training, optimizing, and deploying neural networks to solve real-world problems across diverse industries such as self-driving cars, healthcare, online services, and robotics. View more information about the hands-on lab here.

Tickets are limited. Register for your pass here. Group discounts are available upon request. Discounted rooms at the venue are also available.

This summit is co-located with the RE’WORK Machine Intelligence in Autonomous Vehicles Summit, Amsterdam

Further enquiries: email L’onie at [email protected]