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Tag: Public Event

Expert Group Meeting – Natural Language Processing in Action: Agents in 2025

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The next NLP Expert Meeting will focus on the topic of “Agents in 2025”. Join us on February 4th, 2025, at our regular venue – ZHAW on Lagerstrasse.

  • Johannes Nagele works at Alexander Thamm [AT] and will discuss Agentic AI Systems in Companies: The vision, practical use cases and the larger picture.
  • Farhad Nooralahzadeh from ZHAW will highlight how they use agentic systems for Explainable Multi-Modal Data Exploration.
  • Marius Högger works at bbv Software Services AG and will explore AI Agent Collaboration: A roadmap for successful adoption and scaling in organizations.

Join us on February 4th at 17:30 at Lagerstrasse 45, 8004 Zurich. The presentations will run from 17:30 to 19:00, followed by an Apero downstairs at 19:00.

For those unable to attend in person, online participation is also available.

Register by January 26th using the following form: https://forms.office.com/e/McdQA1Wpci

Webinar: Potential added-value of Artificial Intelligence-based solutions to improving the quality of care of seniors

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There are many potential applications of AI in healthcare, particularly in the care of older people. This mainly refers to algorithm-based computing techniques that manage and analyze large data sets to make conclusions and predictions: from clinical decision support systems that can help detect delirium from medical records to wearable devices that can predict the risk of falls.

In this webinar, the needs and challenges of older people will be presented and defined and possible solutions based on artificial intelligence methods for specific application examples will be demonstrated.

Program

12h00-12h10: Presentation of Innovation Booster SILVER AGING
12h10-12h20: Presentation of Innovation Booster ARTIFICIAL INTELLIGENCE
12h20-12h30 : Dr. Vincent Grek – AI, medicine and sport for elderly people
12h30-12h40 : Daria Mühlethaler – Supporting the Care Givers with GenAI
12h40-12h50: Q&A
12h50-13h00 : Prof. Dr. Tobias Nef – AI and Digital Biomarkers for patients with Neurodegenerative diseases
13h00-13h10 : Dennis Eitner
13h10-13h20 : Q&A
13h20-13h30 : Wrap-up

Organized by IB Silver Aging and IB Artificial Intelligence

Please register using this form

Link to video call

Webinar: 12. Learn & Lunch – Challenges for SMEs: How can responsible AI be used as a competitive advantage (Deutsch)

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Due to rising social expectations and new laws on the responsible use of artificial intelligence (AI), it is becoming increasingly important for companies to ensure the trustworthiness and ethical acceptability of AI applications. However, instead of viewing these requirements merely as a challenge, they also offer companies the opportunity to innovate and differentiate themselves from the competition. The aim of this event is to jointly explore the business challenges in the area of responsible AI. It will also discuss how companies can proactively use these requirements to tap into new innovation opportunities and position themselves sustainably in the market.

Organized by GRdigital in cooperation with the Focus Topic Responsible AI and Expert Group Data Ethics, of the data innovation alliance

Official Website and registration

Info-Webinar IB Databooster and Artificial Intelligence

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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.

Organized by HES-SO, HEPIA and the data innovation alliance

Official website and Registration

Challenges in Data Management in Robotics Workshop

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The Workshop on Challenges in Data Management in Robotics aims to bring together robotics enthusiasts, researchers, and industry professionals to discuss and address the pressing issues surrounding data management in robotics applications. Through keynotes, case studies, and breakout groups, participants will gain valuable insights into tackling data-related challenges in robotics and explore potential solutions.

Organized by IB Robotics and IB Artificial Intelligence

Official Website and Registration

Agenda (subject to change!)

08:30 – 09:00:Registration and Welcome Coffee
09:00 – 09:30:Opening Remarks by Swiss Cobotics Competence Center
and Innovation Boosters Robotics and Artificial Intelligence.
09:30 – 10:30:Presentation of the challenges

Challenge 1: Coworking and Learning
  • With the participation of: Baptiste Busch, AICA and Maryam Reyazati, ZHAW
    		•
    Understanding human practices within the context of human-robot interaction is crucial for robots to adjust their behaviors appropriately. However, this presents several challenges. Not only do technical tasks and ethical considerations come into play, but also the fact that different individuals interact in unique ways, making the development of universally applicable algorithms extremely difficult. Furthermore, ensuring precise communication and task allocation in the human-robot workflow is essential, especially considering the proximity between humans and robots.

    Challenge 2: Data Management
  • With the participation of: Jensen Björn, HSLU and Yves Albers, Roboto AI
    		•
    Most robots work with both filtered and uncensored data, not only for robot training and learning tasks but also directly acquired in-process by physical sensors. Nowadays, tasks such as training may require a large amount of data. This can be challenging in terms of data overload, costs of data analytics integration, and robust data management practices.
    10:30 – 10:45:Coffee Break
    10:45 – 12:15:Breakout groups
    12:15 – 13:45:Networking Lunch
    13:45 – 14:45:Presentation of the challenges

    Challenge 3: Responsibe Collaboration
  • With the participation of: Andreas Hufschmid, Pilz Switzerland and Andrei Cramariuc, RSL – ETH
    		•
    Both humans and machines occasionally fail at specific tasks, making it essential to consider failure scenarios in developing robust interaction frameworks. By understanding and leveraging failure data, we aim to improve the design, development, control, and robustness robots, ensuring more resilient and adaptive human-robot interactions. To achieve this, we will explore methods for identifying and capturing failure events, analyzing their causes, and utilizing this data to improve the reliability and performance of robotic systems.

    Challenge 4: Self-improvement of Robots
  • With the participation of: Sina Mirrazavi and Sylvain Calinon, Idiap Research Institute
    		•
    One aspect of robustness involves the capacity for a robot to enhance its knowledge and behavior autonomously. This means it should possess a degree of flexibility to adapt and apply abilities to new situations as needed. Achieving this context-driven, adaptive autonomy, which relies on common-sense knowledge and practical manipulation tasks, demands extensive programming and often involves on-platform data management & analytics.
    14:45 – 15:00:Coffee Break
    15:00 – 16:30:Breakout groups
    16:30 – 17:00:Conclusions: Sharing Discussions and Findings

    Responsible AI Challenge: The long way from Responsible AI principles to concrete implementations – and how to manage and control this journey

    Written by dsa_admin on .

    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.

    Apéro Digital

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    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.

    Find more information on the official website.

    SDS2024 Workshop – Next-Gen Cleantech Solutions

    Written by dsa_admin on .

    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.

    Register now here!

    SDS2024 Workshop – Generative AI for Well-Being

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    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.

    Register now here!

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