idalab seminar

idalab seminar #21: How TomTom is using AI to Create World-Class Maps and Traffic Services for Autonomous Driving

For over a decade TomTom has been creating consumer devices for navigation routing people from A to B as fast as possible. One of the key components in routing is the availability of a high-quality map.  While initially maps were being produced in a very laborious way involving a significant amount of manual work, map productization is nowadays becoming more and more automatized.

idalab seminar #20: Inventing the future, one visualisation at a time

Data visualisation is a young and buzzing field, or so it seems. Many related projects are focused on mastering new technologies, on navigating the unprecedented wealth of data and on supporting the human-machine-interaction of the future. Interestingly, in most professional debates and talks today, we can detect a near total lack of historical perspective or awareness. While everyone is looking forward, there doesn’t seem to be much use in looking back.

idalab seminar #18: Generating music in realtime with Artificial Intelligence: What if music could change automatically with the emotional state in a video game?

In a time when creators of video games are trying to make gaming an ever more immersive and ever more real experience, AI is beginning to have an impact in the field. Everyone who’s ever played a video game knows: Music plays an important part in conveying the atmosphere of altering game states and thus needs to change dynamically as the gamer makes choices and variations of the storyline unfold.

idalab seminar #16: How to unlock valuable personal data for analysis – Shedding light on the byzantine world of privacy-enhancing technology

At the heart of privacy preserving data analysis lies a fundamental paradox: privacy preservation aims to hide, while data analysis aims to reveal. The two concepts may seem completely irreconcilable at first, but – using the right approach – they need not be. Our Data Strategist Lisa Martin spent two months researching this topic extensively, conducting interviews with industry experts and Startups alike. In this talk, Lisa will share her insights and we invite you to join us in discussing one of the most pressing issues of the 21st century: data privacy.

idalab seminar #15: What makes an algorithm ethical? – Defining and implementing a Quality Criteria Catalogue for Algorithms

Algorithms are increasingly relied upon in decision making processes that can have far-reaching implications for all of us. They help doctors diagnose diseases and develop treatment plans. They tell police officers where to patrol. They decide who is going to be invited to the job interview. If these decisions are made by people and the way they decide seems harmful or unjust, our laws enable us to hold them accountable for their actions and correct them if necessary.

idalab seminar #14: Academia to Industry: Looking back on a decade of machine learning

Machine Learning is one of that areas that has seen a rapid transformation from a purely academic topic to becoming a driving technology in the industry these days. Mikio has seen both sides of the coin and will share his experience. What is the difference between academic research and bringing a ML driven product live? What does it take to productionize ML? And finally, how close are we to true AI?

idalab seminar #13: Exploring Chemical Space with Deep Learning

What if we could build batteries for electric cars that would take us further than a full tank of gasoline? If we could grow affordable, tasty and nutritious meat in the laboratory instead of occupying one third of the land on our planet with animal farming? What if we could easily identify promising targets in the human body for new cancer drugs?

idalab seminar #12: The data-privacy dilemma: How full homomorphic encryption could bring healthcare into the digital era

Imagine this: The key to better cancer treatments is within reach, based on patterns from data that is scattered across various locations all over the world. This data could be digitalised, labelled, collected, stored and interpreted. However, this data belongs to a countless number of individuals – and their right to data privacy weighs just as much as the dream of curing a lethal disease.