AI Lab Lunch: CHEME AI Lab & D@S Lab
October 20, 2022 - 12:00 - 13:30
During this AI Lab Lunch the CHEME AI Lab and the D@S Lab will present themselves and their latest developments!
The CHEME AI Lab investigate knowledge-driven AI and demonstrates its potential within two applied science domains in particular – chemical engineering and imaging physics. Such knowledge-driven AI aims to be more interpretable and reliable than purely data-driven AI, and it will further drive future scientific development in chemical engineering and imaging physics.
The research of the Design@Scale Lab will establish new methods for integrating Participatory Design, Crowd Computing and AI, ultimately enabling designers to better address complex social problems. Their aim is to reduce design complexity for large-scale social interventions. D@S Lab research will focus on orchestrating large-scale design activities involving people, data, and machines. We will collect data on effective design interventions and investigate how to predict their impact.
The doors of Mondai will open at 12 o’clock, where lunch will be available. The labs start presenting at half past.
This event will be held in English.
Note for TU Delft PhDs: Per 4 seminars from the AI (-related) seminar series: Human-Centred Artificial Intelligence Systems (HCAIS) Deep Dive; and Delft AI Lab Lunches, PhD candidates from partaking TU Delft faculties can earn 0.5 GSC for up to 1.5 GSC (category: Discipline Related Skills). Check with your local Faculty Graduate School if they offer this option for earning GSC; and with your supervisors if they accept our seminars on your Doctoral Education list.
About CHEME AI Lab
Integrating fundamental applied science understanding into technology has been a continuous process throughout history, and the CHEME AI Lab works to make today’s data-driven artificial intelligence (AI) stronger. We investigate knowledge-driven AI and demonstrate its potential within two applied science domains in particular – chemical engineering and imaging physics. Our research also applies to a wider range of applications. It explores fundamental ways to instil knowledge into all key components of AI: data acquisition, algorithm design, user interaction and deployment. Such knowledge-driven AI aims to be more interpretable and reliable than purely data-driven AI, and it will further drive future scientific development in chemical engineering and imaging physics.
About D@S Lab
We can harness unprecedented amounts of data using AI, creating opportunities to tackle major societal problems in areas such as health, well-being, and mobility. To make AI useful, we need to find new ways to combine the creative power of humans with the analytical capabilities of computers. That’s why the Design at Scale Lab (D@S Lab) is developing new methods for ‘Hybrid Intelligence’ (HI) – the combination of artificial and human intelligence.
A key challenge lies in finding out how to help designers, experts and societal stakeholders work together with AI, to prepare, realise and evaluate design interventions. Our aim is to reduce design complexity for large-scale social interventions. D@S Lab research will focus on orchestrating large-scale design activities involving people, data, and machines. We will collect data on effective design interventions and investigate how to predict their impact.
Our research will establish new methods for integrating Participatory Design, Crowd Computing and AI, ultimately enabling designers to better address complex social problems.
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