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Edge AI: The bridge between the cloud and smart devices for sustainable, safe, and user-friendly AI

Artificial Intelligence (AI) offers many possibilities but also comes with drawbacks. For instance, the significant energy consumption associated with data processing in the cloud and the risks related to privacy and the reliability of services. Edge AI, which involves processing data as close as possible to the user, offers a potential solution. TU Delft scientist Aaron Ding is researching how we can shape artificial intelligence using Edge AI in a sustainable, safe, reliable, and inclusive manner.

Engineering Social Technologies for a Responsible Digital Future

This research initiative aims at strengthening complexity science for a better understanding of socio-technical-environmental systems and to prepare for the challenges of today’s globalized and hyper-connected world. The program is committed to the idea that we need to respond to the novel, data-driven construction of the social world with an operational framework that enables sustainable new modes of social, moral, legal and political thinking.
Hoe de douane efficiënter inspecteert in de logistieke keten

Improving the efficiency of Customs inspections in the logistics supply chain

In the years ahead, Customs at Schiphol airport and the Port of Rotterdam are set to have a lot of work on their hands. In the next five years, the huge growth in e-commerce and the imminent Brexit will lead to an increase from 160 million to 500 million in the number of Customs declarations passing through these major logistics hubs of Europe. This massive increase calls for smart ways of working in order to guarantee efficient risk analysis and cut costs in processing Customs import declarations. “In light of this, digitisation and collaboration between Customs organisations and the transport supply chain will be of key importance,” says Yao-Hua Tan, Professor of Information and Communication Technology.

Deep learning for complex networks

From image recognition to medical diagnostics, Machine Learning has a huge impact. Yet Elvin Isufi adds an extra dimension, enabling its analyzing power to complex networks such as recommender systems, and more down-to-earth: water management.

Aishwarya Suresh Iyer

PhD candidate, section Ethics/Philosophy of Technology (EPT)

Jonne Maas

PhD candidate, section Ethics/Philosophy of Technology (EPT)

Spider Webs inspire State-of-the-Art Sensor Design

For the past two years, quantum sensing technology specialist Richard Norte (Department of Precision Microsystems Engineering) has been working intensively with machine learning expert Miguel Bessa (Department of Materials Science & Engineering) - a collaboration that has led to a real breakthrough in science.

An all-time high for far-infrared space exploration

Next year, a helium balloon the size of a soccer stadium will bring a NASA telescope to the edge of space. This project is called GUSTO, and it will help scientists understand galactic evolution by probing interstellar gas. Its most important payload are three detectors developed by Jian Rong Gao and his teams at TU Delft and SRON, without which the telescope would be blind as to its mission purpose.

Using artificial intelligence to eye the quantum computer

Imagine if we could find an alternative to plastic by using a quantum computer and artificial intelligence, to help us decide on all the best ideas that chemists have?