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Schlagwort: AI Booster

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

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    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

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    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!

    GEOSummit – Session on New Methods in Spatial Data Analytics

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    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.

    Find more information on the official website.

    Spatial Data Analytics – AI-driven Probability Maps

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    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

    Co-Creation Workshop: Low-Code/No-Code Technology for Digital Health Innovation

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    Hosted at the REFSQ 2024 conference in Winterthur on Monday 8 th April 2024

    This workshop is co-organized with the Innovation Booster Digital Health Nation

    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.

    The workshop is hosted and organized by the ZHAW’s Software Engineering research group and the Innovation Booster Artificial Intelligence.

    Register here: https://2024.refsq.org/attending/refsq-2024-registration

    Preliminary program

    09:00 – 09:30 Welcome and workshop goals
    Icebreakers: getting to know each other
    09:30 – 10:30Collect core engineering challenges for digital health innovation perceived across the domain (breakout brainstorm, present/discuss, rate)
    10:30 – 11:00Coffee break
    11:00 – 12:30Presentation 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 – 14:00Lunch break
    14:00 – 15:30World café: fostering collaboration to address challenges for sustainable and innovative digital health
    15:30 – 16:00Coffee break
    16:00 – 17:00Presentation of the results and collect additional ideas
    Investigate who is interested in participating in and writing project proposals on these topics
    17:00 – 17:30Collect feedback on the workshop
    Wrap up and next steps

    Lunch & Lecture: Behind the startup hype

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    A convincing idea, substantial investment from third parties, the business takes off and is ultimately sold at top prices. The start-up sector is hip and successful. At the same time, consulting and support formats for founders are booming.

    But how many start-ups actually survive? What does it mean to get external capital on board? And what promising strategies are there that do not rely on rapid growth and high levels of outside capital?

    Key Speaker

    Dr. Gabriele Schwarz
    Founding partner Innovista Management and consultant
    Digital Innovation

    Bookings can be made until the 3rd of March 2024

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