news 2022

TU Delft Dream Team Epoch has achieved ninth place in their first competition of the year, the CityLearn Challenge. Engaged in a battle with 110 other teams from around the world, including Microsoft, the TU Delft students developed a new AI algorithm that contributes to better and smarter energy systems.

Using smart algorithms, PhD researcher Lars Moormann has made the design of tunnel control systems much more efficient. It is hard to imagine modern traffic networks without tunnels. They help us bypass rivers and mountains, and make sure traffic doesn't interfere too much with our daily lives in urban areas.

Researchers at the University of Amsterdam have developed a model that can accurately predict the current migration routes of migratory birds. This offers the possibility of taking adequate measures at the right time when birds are at risk from air traffic or infrastructure. The researchers published their work in the scientific journal Methods in Ecology and Evolution by the end of October.

Physicists from the Gröblacher lab at TU Delft have built a device that can link different quantum devices and qubits to each other. This device, a silicon chip with vibrations traveling through it, functions as a network between quantum devices. This marks the first time that scientists are able to store as many qubits as they'd like within a very compact area on this type of chip.

The METATOOL project received 4 million euros from the European Innovation Council (EIC) and the 'Awareness Inside' Pathfinder Challenge to investigate how robots can invent new tools as ancient humans did.

Huge amounts of data are available in our society: for instance weather information, financial data, sports statistics, which are not yet represented in language. All this kind of data could improve our lives, increasing our understanding of the world and helping us take actions. But in a lot of cases, available raw data is too much and too unclear to understand.

UT researcher Kingsley Kumah optimised a machine learning algorithm to improve the resolution of rainfall predictions using satellite data. To train his algorithm, Kumah used rainfall information gathered with phone signals. This technology enables measurements in places that are difficult to access.

Mathematician Alessio Gallucci improves the mapping of human skin by using models and deep learning. With just a scan of your face and a little basic data, such as height and weight, mathematician Alessio Gallucci can produce a complete body scan. To improve the 3D analysis of our skin he used deep learning techniques.

Birdwatchers beware! The next few weeks are all about crane migration. When the wind is just right, sometimes thousands of "cranes" fly over the Netherlands. But even with those numbers, it is not easy to spot them. That is why Dr Koen de Koning, in collaboration with Sensing Clues, developed an app that works as a 'rainfall radar for cranes'.

People in deprived city areas tend to have less services available than inhabitants in wealthier parts. They have less access to urban infrastructure such as pharmacies, libraries, sports clubs and even public transport in their neighbourhood. Reversing this tendency is a priority for today's policy-makers.

The official opening of the supercomputer DelftBlue will take place on 30 September at the Prinsenhof in Delft, also marking the fifth anniversary of the TU Delft Institute for Computational Science & Engineering. The programme features scientists and companies working with supercomputers, explaining the importance of supercomputing for healthcare, logistics and the energy transition.

Explainable AI (XAI) is an exciting new field in computer science. PhD-candidate Ana Lucic developed some new algorithms to make the black box of machine learning more transparant. One of them could help healthcare in underserved communities. Lucic will defend her PhD-thesis on Friday 23 September at the UvA.

PhD candidate uses tools from quantum mechanics to help computers interpret ambiguous language. Words or sentences can often have multiple meanings. This is a concept that is hard to grasp for regular computers. PhD candidate Adriana Duarte Correia used quantum algorithms to make computers understand that a sentence like 'Look at the dog with one eye' can mean two different things at the same time.

ОткрОйте пПвече за УÐoeОверсОтета ТвеÐoeте Ðoeа свПя сПбствеÐoe езОк.

Data scientist Marijn ten Thij studies human behaviour on the basis of messages posted on social media. For example, he mapped the changing mood during the corona pandemic using 3.5 million tweets. The analysis of this kind of data is not only socially relevant, it could also help individuals in psychological distress.

In a recent article in the Journal of High Energy Physics (JHEP), the LHCb collaboration reports the application of Quantum Machine Learning for identifying properties of so-called jets: streams of particles that result from particle collisions. It is the first paper to describe the application of quantum computing to the identification of jets originating from beauty quarks or anti-quarks, a type of particle of particular interest to the LHCb experiment.