AI & Machinelearning

30 Videos

J-Fall 2019: M. Förtsch & T. Endres – Deepfakes 2.0 – How Neural Networks are Changing our World

Full title: Martin Förtsch & Thomas Endres – Deepfakes 2.0 – How Neural Networks are Changing our World Imagine that you are standing in front of a mirror, but no longer see your own face, but through the eyes of Barack Obama or Angela Merkel. In real time, your own facial expressions are transferred to […]

TEQnation 2019: Martin Förtsch & Thomas Endres – Stereoscopic Real-time Style Transfer AI – Art is not what you see?

What if Virtual Reality glasses could transform your environment into a three-dimensional work of art in realtime? What if every detail of the world would be shown in the style of a painting from Van Gogh? One of the many interesting developments in the field of Deep Learning is the so called “Style Transfer”. It […]

TEQnation 2019: Arno Broekhof – DataScience as a Service

Nowadays almost everybody is talking about DataScience / Machine Learning, containers, cloud and going serverless. what if we could combine all those elements to form one microservice landscape? Nice right!? In this session i will start of with sharing my thoughts about it and then do a live demo where i will: – start containerising […]

TEQnation 2019: Ivor Boers & Michel Drenthe – Adventures in autonomous sailing

Machine learning has a big impact on the world. In this presentation, we will look at advancements in robotic sailing and talk about our own plans to use machine learning to go sailing. Follow us on our journey to build an autonomous boat that can sail around the world. Starting with a standard RC boat […]

TEQnation 2019: Gabriel Bianconi – Introduction to Face Processing with Computer Vision

Note: Please excuse us for the fact the video cut off early. Ever wonder how Facebook’s facial recognition or Snapchat’s filters work? Faces are a fundamental piece of photography, and building applications around them has never been easier with open-source libraries and pre-trained models. In this talk, we’ll help you understand some of the computer […]

TEQnation 2019: Alexander Backus & Daan Debie – Forecasting passengers with machine learning at KLM

Nobody likes throwing good food away, while everybody likes to get a fresh meal on a long-distance flight. In to order take just the right amount of meals on board, KLM Royal Dutch Airlines successfully executed a project to improve their forecast of the number of passengers on-board every flight. In this talk, we walk […]

TEQnation 2019: Nadia Ashahwan – Automated Test Design and Bug Fixing @Facebook

The talk describes Sapienz, a system for automated test case design that uses Search Based Software Engineering (SBSE). Sapienz has been deployed at Facebook since October 2017 to design test cases, localise and triage crashes to developers and monitor their fixes. It also describes SapFix, a system for automated fix design and deployment. Finally, the […]

Future Tech 2019: Henk Boelman – Getting started with Azure Machine Learning services

With machine learning becoming more and more an engineering problem the need to track, work together and easily deploy ML experiments with integrated CI/CD tooling is becoming more relevant then ever. In this session we take a deep-dive into Azure Machine Learning service, a cloud service that you can use to track as you build, […]

Future Tech 2019: Alex de Groot – Architecting for ML.NET & Cognitive Services

The world talks about Machine Learning & Cognitive Services, but you still have the same deliveries. Wouldn’t it be nice if you simply can drag ‘n drop these new capabilities when you have the real business case? During this talks I go in-depth on how to integrate all of these new capabilities into your carefully […]

Future Tech 2019: Roelant Dieben – Rub a little AI on it

Whether it was Voltaire or “Uncle Ben” Parker who said it first, but with great power comes great responsibility. It seems almost everyone in marketing and product development is searching for ways to integrate artificial intelligence in any way possible, but is ‘rubbing some AI on it’ always the anwser and what problems can an […]