At the TU Delft we perform research to develop better and smarter technologies for finding answers to scientific and societal challenges. We also train and educate the future generation of digital professionals and use digital technologies to further develop the quality of (our) educational programmes. Together with our stakeholders we shape our digital society in a responsible manner.
The activities related to AI, data & digitalisation at TU Delft involve a significant number of researchers and educators. With plentiful and considerable scientific and societal challenges outstanding, TU Delft plans to nearly double the current budget for these research and education activities to 70 M€ per year. These funds will be used for new talent and labs; additional educational programmes for BSc, MSc, PhD, and cross-programme training; accelerated educational innovation; additional facilities and technical, engineering and valorisation support; intensifying collaboration, partnerships and networks; and extended regional collaboration. Through the TU Delft AI Initiative, the AIDU programme (TU Delft's AI, Data and Digitalisation research and education programme) unites and executes these investments and additional endeavours.
We have established a regional alliance for AI, Data & Digitalisation, involving TU Delft, Erasmus University Rotterdam, and Leiden University together with the university medical centres Erasmus MC and LUMC. We are in the process of developing a large-scale educational programme dedicated to strengthening our combined skills in this field, with a potential reach of 85,000 students. You can expect our regional alliance to join forces in research and valorisation as well.
New, biology-inspired robot brainBiology is an inexhaustible source of inspiration for robotics. Whether it involves walking, grabbing, flying or swimming, robotics looks with amazement and interest at the rich variety of solutions that evolution has developed. Not that robotics blindly copies nature, but it does take what it can to use in its mechanical robots. An efficient way of letting a robot’s hand grab a delicate bell pepper, for example. Or an energy-efficient way of letting a robot walk on two legs.
This is how digital voice assistants influence your lifeVoice assistants, like Alexa or Google Home are taking over households, in the USA anyway, where one in four households owns at least one device. These assistants that promise to make your life so much easier seem harmless, but are they really? TU Delft researcher Olya Kudina is not so sure: ‘They do impact our lives and not only in a good way.’
Self-driving cars begin to understand road users’ behaviourDrive around a busy Dutch city centre one day and observe everything that happens around you. As a driver, you have to constantly make choices. Does the pedestrian, who is suddenly crossing the road, see you? Will that van give you right of way? What is the mother with a child on the back of her bike planning to do? And then there’s the weather. You can be blinded by the sun. You see less in the shade and in the dark. The road could be slippery, or it could start to rain really hard. We’re usually unaware of how many intelligent decisions we make while driving, and the difficult conditions that we make them in.
Robot and humans have to understand each otherThe smarter robots become, the more we will encounter them – at home, in the streets, in shops and in the workplace – and the more they will interact directly with humans. When that happens, robots will have to get wise to human behaviour, learn to work and communicate with people, and even learn from them. The opposite is true as well. Humans will need to have an idea of what robots are going to do, what they’re not going to do, what they can do and what they cannot do. Robots and humans are going to have to understand each other’s conduct.
A fresh perspective on potato growthRequiring less water and less time to grow than rice, corn or wheat, potatoes may well be the answer to the growing worldwide demand for food. But what are the key factors that determine a successful potato harvest? Asked to provide a fresh perspective, Neil Budko develops numerical methods for the analysis of carefully controlled potato growth experiments.
19 January 2021
Appreciating a flower’s texture, color, and shape leads to better drone landings
You may have wondered how a honeybee has such perfect navigation skills.
11 January 2021
DSM and TU Delft launch AI4B.io Lab
Royal DSM and TU Delft today announce the establishment of the Artificial Intelligence Lab for Biosciences (the AI4B.io Lab). This laboratory will be the first of its kind in Europe to apply artificial intelligence (AI) to full-scale biomanufacturing, from microbial strain development to process optimization and scheduling.