TU Delft AI-labs
Een belangrijk onderdeel van het TU Delft AI Initiative is de oprichting van in totaal 24 labs waarbinnen deskundigen op het gebied van AI-grondslagen samenwerken met deskundigen die met behulp van AI werken aan maatschappelijke en wetenschappelijke uitdagingen. De TU Delft AI-labs zijn een belichaming van de bruggen die geslagen worden tussen wetenschap in en met AI, Data en Digitalisatie.
Deze aanpak geeft een flinke impuls aan het onderwijs, en vergroot de impact van de Delftse AI op het gebied van wetenschap, techniek en samenleving. De eerste 16 labs zijn inmiddels opgericht, de volgende acht volgen dit jaar.
De eerste zestien van in totaal vierentwintig TU Delft AI-labs
3DUU
3D Urban Understanding. New methods to automatically recognise and model objects in the built environment in 3D.
AiDAPT
AI for Design, Analysis and Optimisation in Architecture & the Built Enviroment. AI for a sustainable and resilient built environment.
AidroLab
AI for sustainable water management. Enhancing the adaptability and resilience of urban water systems.
AIFluids Lab
Artificial Intelligence in Fluid Mechanics. Using AI and fluid mechanics to build better planes and wind farms.
AI*MAN Lab
Transparent & Traceable AI in Human-AI Teamwork. Developing optimal and transparent decision making in human-AI teamwork.
CITYAI
A place where data, AI and behavioral theory come together. Translating data into insights into the structure of cities and its impact on human behaviour.
DAI energy Lab
AI for sustainable, reliable and effective energy systems. New AI-based methods that contribute to managing (dynamic) energy systems.
Design @ Scale Lab
Humans and AI tackle problems together. Integrating Participatory Design, Crowd Computing and AI to better address complex social problems.
DeTail Lab
Training & innovation in tensor-based AI methods for biomedical signals. Fundamental development of tensor computing and its applications.
DI_Lab
Humans and AI designing the future in dialogue. Using AI in the development of new design methods.
HERALD Lab
Human-aware robust AI for automated driving. New AI methods to enable automated driving systems to interact with the humans around them.
Hippo DAI Lab
AI for fair, efficient and interpretable policy analysis. Optimisation methods for the fair and efficient design and analysis of public policies.
IRIS Lab
AI for quantitative bioimaging. AI-based technology that improves microscopy methods for biomedical use.
KDAI Lab
From data-driven to knowledge-driven AI. Strengthening data-driven AI by integrating fundamental knowledge from applied natural sciences.
MACHINA Lab
Machine Intelligence Advances for Materials. Creating a new route for designing novel materials and AI algorithms.
