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The next generation of AI: transparent, reliable and unbiased smart tool

ABOUT TRUST AI

The TRUST-AI project aims at bridging the gap between the analytical expressions derived from theory and the numerical models obtained with Machine Learning. A novel paradigm will be developed, whereby humans and machines can collaborate and discover new solutions.

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three use cases

The three use cases approached will serve to guide the development of the framework, and will bring important short-term benefits, namely in cancer treatment, last-mile delivery and energy consumption.
LUMC Use Case 01

CANCER TREATMENT

Predicting the right treatment moment for patients with slow-growing tumors that only require specific treatment at some point in time (undergoing a wait-and-scan policy).

SONAE MC Use Case 02

TIME SLOT SELECTION

Dynamically selecting delivery time slots and corresponding pricing for last mile delivery, trading-off customer satisfaction and operational efficiency.

APINTECH Use Case 03

DEMAND FORECAST

Predicting daily, hourly and minute energy consumption by managing multiple, real time and distributed data sources.

latest from the project

Communication & dissemination will ensure excellence and raise public awareness regarding the project. Check here our latest outcomes.
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Webinar: MSGP, the Memetic Semantic Genetic Programming Algorithm

Interested in Genetic Programming and Explainable AI? Check the webinar on the top performing MSGP algorithm, organized by Marc Schoenauer and Alessandro Leite, from INRIA, France, our TRUST-AI partner.

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Webinar: GP-GOMEA, the Genetic Programming Gene-pool Optimal Mixing Evolutionary Algorithm

Interested in Genetic Programming and Explainable AI? Check the webinar on the top performing GP-GOMEA algorithm, organized by Peter Bosnan, CWI, Netherlands, our TRUST-AI partner.

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Third TRUST-AI consortium physical meeting held at Centrum Wiskunde & Informatica in Amsterdam

TRUST-AI is a Horizon project delivering methods and technology in the broad area of interpretability and human-driven AI. The areas where our approaches are being tested include Health, Retailing, and Energy.

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Technology Readiness Levels (TRLs) in the Era of Co-Creation

In the course of the TRUST AI HORIZON project, we faced the challenge of pushing up the TRL ladder, a specific forecasting component that by its very nature was rather limited as to its exploitation potential.

meet the partners

Communication & dissemination will ensure excellence and raise public awareness regarding the project. Check here our latest outcomes.
INESCTEC tartu Inria NWO
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