The Service à l’Innovation et à la Recherche (SIR) of the HES-SO is organizing a webinar on June 24, 2024 (12:00-13:00) to present two ideas supported by the Innosuisse Innovation Booster program. The funding opportunities in the frame of the Innovation Booster databooster and Artificial Intelligence, for which Nabil Abdennadher, professor at HEPIA, is the representative in French-speaking Switzerland, will be introduced and explained.
Making sure that AI applications are trustworthy and ethically aligned is becoming a major issue for all developers of AI, and for all companies using AI. The European Artificial Intelligence Act (AI Act) has been endorsed by the European Parliament in December 2023, and will be put into place in the very near future – this will fuel the need for actually guaranteeing that AI is consistent with legal requirements on trustworthiness.
But: the way from legal requirements to testable properties of a concrete implementation is long. How to keep track of the relevant legal requirements? How to operationalize them into technical requirements? How to guarantee that a specific application is consistent with all requirements, over the whole lifecycle of the application?
This lunch event will explore these questions with an input presentation and a following discussion/exchange.
Elena Maran, Global Head Financial Services & RAI, Modulos AG, Zurich
Elena Maran is a former financial services executive with more than 13 years experience in the industry in different roles spanning from sales and trading to corporate banking. She is now Global Head Financial Services and Responsible AI at Modulos AG, defining the strategy, capturing requirements and driving growth in the sector. She is helping financial institutions embracing responsible AI governance and align with global and sector relevant AI regulations.
Join the discussion on a hot topic in Responsible AI and register here. The link to the webinar will be sent to you with the booking confirmation.
Combining techniques of technology foresight, storytelling, and sharing of lived experiences, Apéro Digital facilitates the co-creation of reflexive environments to support the understanding of societal transformations around digitalisation. Each event will result in a tangible artefact that is co-produced by participants. These outputs may be technical, argumentative, artistic, or analytical, all with the aim of adding values to the collective reflections about, and strategic navigation around, societal challenges posed by the ongoing digital transformation.
At a time when tackling environmental challenges is of paramount importance, the cleantech industry plays a central role in promoting sustainable solutions. However, technological innovation in the cleantech sector requires a deep understanding not only of the technologies, but also of the market requirements. This information is usually embedded in a large amount of patent and media data, which is difficult to analyze manually to effectively capture the development trend. Using Natural Language Processing (NLP) and the latest advancements in Large Language Models (LLMs) is a natural choice to accelerate innovation. In this workshop, we will share our insights gained in solving this task. Several presentations on various relevant topics will be offered, followed by a hands-on session where participants can try out our LLMs-powered cleantech question-answering and recommendation system.
Generative AI has reached broad attention in the media over the last months. Different new use cases have been identified to support people in their daily work and make their work more efficient. But what about the well-being of the individuals? Different studies have shown that there is a rise of stress, also in Switzerland. The new technologies bring potential for applications to help people to fight stress and increase their well-being. For example, chatbots or coaching technologies can support mental health or therapy in the setting of blended therapy. On the other side, there is a huge potential of multimedia interventions for elderly people, patients or stressed workers. In this interdisciplinary workshop, we explore what different directions are possible and how these latest technologies can be applied for the well-being of humans. The workshop consists of a series of talks, and a hands-on part.
The 11th edition of the IEEE Swiss Conference on Data Science will be in Zurich. Mark the date in your calendars! More information: https://sds2024.ch/
With the increasing availability of spatial data, analysis methods are also evolving. It is therefore not surprising that, in addition to established approaches from the field of machine learning, Large Language Models, which are very present in the media, are also used when working with spatial data. But are these sometimes very complex methods only to be found in research or are there already concrete applications and operational services in Switzerland? Examples from research and practice are presented, which are convincing with new methods of spatial data analysis.
In the field of environmental monitoring, artificial intelligence (AI) coupled with probability maps emerges as a powerful tool for comprehensively understanding and managing ecological systems. By harnessing machine learning algorithms, intricate patterns within environmental datasets can be discerned with unprecedented accuracy. Based on this understanding, probability maps can be calculated to offer valuable insights into the likelihood of various environmental events. These maps serve as crucial decision-making aids for policymakers, conservationists, and researchers alike, enabling proactive measures to mitigate ecological threats and promote sustainable practices.
Schedule:
14:45 – 14:55 – Intro and introductions (Dr. László István Etesi – FHNW)
14:55 – 15:30 – Probability Maps: Current research & applications in the field of environmental monitoring
15:30 – 16:00 – Break
16:00 – 16:30 – Indicate challenges around robust multi-sensor & multi-scale data integration and harmonization
16:30 – 17:00 – Discussion on ideas which can be further evaluated in the frame of the Innovation Booster
In the frame of the ExpertDay, an inter-active breakout session is organized by the ExpertGroup AI in Finance and Insurance, presented by M. Vendramet and A. Blum (Unit8) and B.H. Misheva (BFH).The challenges adressed include the mountains of data you are managing in finance and the currently available machine learning techniques, which can give finance teams an edge in connecting all the data, finding trends and insights. Inspiring insights are presented by N. Königstein and G. Raille:
Presentation: Nicole Königstein, Chief Data Scientist, Head of AI & Quant Research, Wyden Capital AG: Financial Times Series Prediction in the Age of Transformers
Presentation: Guillaume Raille, Engagement Director & Data Scientist at Unit8 SA: LLMs beyond Chatbots: Unveiling the challenges of advanced LLM applications based on a real-world use cases
Join the discussion on topics that might be relevant for the DIA in the future and register here.
No single industry is left untouched by the digital transformation. The success of this transformation is determined by how well the stakeholders in the specific sectors adopt digital technologies and how productively they utilize them. In the field of digital health innovation, new technologies are increasingly being used, especially at the interfaces between healthcare organizations, pharmaceutical companies, and insurers. In this workshop we focus on low-code/no-code technology that reduces the traditional distance between requirements engineering and software development.
The requirements for these technologies are complex and need to be elicited from heterogeneous sources to ensure full coverage of stakeholders’ needs. Accordingly, many challenges exist, such as:
How to design reliable systems in complex environments with many stakeholders?
How to enhance the communication and interpretation of requirements?
How to effectively reduce the technical knowledge gap of domain experts?
How to actively engage healthcare experts in the software prototyping process?
How to automatically integrate business logic and domain data specified in Excel sheets or other business artifacts?
How to ensure early in the development process that the solution is going to meet the requirements?
How to integrate healthcare-related regulations and standards in software solutions?
How to ensure that digital solutions are sustainable in terms of technical, social, individual, economic, and environmental aspects?
How to enhance the human understanding and evolvability of digital solutions?
Etc.
This one-day interactive workshop will engage the participants in the analysis of contemporary challenges with the objective of collaboratively identifying the research and industry actions to achieve sustainable digital health innovation. The envisioned participants include applied researchers and engineers from the MedTech-domain, combined with some interested international experts that attend the main REFSQ 2024 conference. Various aspects on the way from idea to practical implementation and application will be highlighted and discussed in short break-out sessions. The goal is to prepare outlines for Innosuisse project proposals that need to be worked out in small teams after the workshop.
Welcome and workshop goals Icebreakers: getting to know each other
09:30 – 10:30
Collect core engineering challenges for digital health innovation perceived across the domain (breakout brainstorm, present/discuss, rate)
10:30 – 11:00
Coffee break
11:00 – 12:30
Presentation on the Low-code/no-code expertise of ZHAW’s Software Engineering research group (including a live project demo) Collect feedback: What resonates well? What are valuable additions? – Define multiple topics to work on in the afternoon, each combining: Digital health innovation challenge – Software engineering technology – The role of software developers and domain users: Software development for all
12:30 – 14:00
Lunch break
14:00 – 15:30
World café: fostering collaboration to address challenges for sustainable and innovative digital health
15:30 – 16:00
Coffee break
16:00 – 17:00
Presentation of the results and collect additional ideas Investigate who is interested in participating in and writing project proposals on these topics
17:00 – 17:30
Collect feedback on the workshop Wrap up and next steps
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