Research

AI video interviews (AVI) can mistake circumstance — language, disability, neurodivergence or technical setup — for low competence, resulting in unfair outcomes. This project will identify factors and strategies that enable fairer AI-based competence assessment.

In a time when artificial intelligence is rapidly moving from experimentation into everyday practice, the gap between high-level principles and real-world implementation is becoming increasingly visible. While frameworks for trustworthy AI are evolving, their translation into concrete decisions,…

Modern data systems are fragmented, making efficient and portable workloads difficult. A unified abstraction is missing. AI4Flex.Data decouples workload definition from execution, uses AI for engine selection, and enables flexible, optimized multi engine processing.

This goal of this project is to develop novel hybrid classical-quantum machine learning algorithms to tackle challenging problems in academia and industry on quantum simulators as well as on real quantum hardware.

In this project we develop an AI-based screening pipeline of thiol-ene/yne click reactions for self-healing polymers. Combining semi-empirical calculations with density functional theory and machine learning, we identify optimal reaction pairs for sustainable materials design.

OrthoSense by Leg&airy revolutionizes ankle-foot orthotics by turning subjective brace fitting into data-driven care. Embedded sensors capture pressure data, enabling AI driven biomechanical algorithms to tailor each brace’s shape and fit to the individual patient while enabling patients tracking.

The goal of the project is to strengthen surveillance of antimicrobial resistance in animals and food products, with a focus on international travelers. The project will explore (and quantify the uncertainty of) using AI-based text and image mining techniques to extract data on the prevalence of…

SCRAI brings responsible AI to the ground by bridging the gap between societal values and development of AI technology and solutions. The SCRAI Think-and-Do Tank will help organizations to exploit the potential of AI while complying with legal requirements and being compatible with societal…

The dAIrector automates multi-cam live productions of concerts, theatre, comedy, musicals through creative AI direction following the dramaturgy on stage. It provides small stages, events, festivals, and artists access to a worldwide audience via YourStage.live.

Digital Manufacturing as a Service Technology (DMaaST) is designed to improve the manufacturing ecosystem's resilience and adaptive capacity to external events through a Smart Manufacturing Platform structured into four layers: The data layer establishes a foundation for interoperable data exchange…

Numerous new posters and bills arrive daily at the Swiss National Library to be added to its catalogue. How can the process of poster cataloguing be enhanced by current AI systems?

The goal of this project is to develop an International Data Governance Framework (IDGF) that can advance responsible international brain research and innovation. This will start with the identification of the technical, legal, ethical and organizational challenges to IDGF and the development of…

In the midst of societal digital transformation, post-pandemic economic recovery, and geopolitical tensions around the globe, the need for a carefully curated space for deliberation and networking presents unprecedented urgency. Against this backdrop, we propose the creation of an intellectually…

SwissNLP would like to take concerted action to better network Swiss players from industry, science and administration in the field of Natural Language Processing (NLP). For this reason various activities are to be carried out until the end of 2025 such as expert group meetings, applied conferences,…

The goal of this pilot study is to research requirements needed to develop a computational model that simulates the fluidic and electro-biochemical dynamics in the power-to-liquid process in order to optimise the performance, efficiency and longevity of enzymes.

The goal of this project is to develop an International Data Governance Framework (IDGF) that can advance responsible international brain research and innovation. This will start with the identification of the technical, legal, ethical and organizational challenges to IDGF and the development of…

The scope of AI4REALNET covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic management) modelled by networks that can be simulated, and are traditionally operated by humans, and where AI systems complement and augment human abilities. It…

Modernising simulation-driven ship unloading optimisation for global use — faster results, scalable architecture, and a future-ready, user-centric platform.

We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets.

The proposed research seeks to merge data-driven methods, symbolic knowledge, and domain expertise to enhance the planning, optimization, and control of industrial robots and processes in robot-based manufacturing. By incorporating sensor data, we can leverage additional information to monitor and…