Fantastic talks this morning at the Swiss Conference on Data Science. For example: Mark Cieliebak on evaluating Large Language Models, and Lilach Goren Huber on how to use AI to clean anomalies in your data. More insights will be shared here: linkedin.com/company/zhaw-da… #SDS2024

💡Is your company focused on economic success and at the same time interested in creating value for people and society? If so, join us for a workshop on May 30, 2024, from 09:00-10:30. Full agenda: brnw.ch/21wIW3v Register here: brnw.ch/21wJzBW #SDS2024

Where can you find us? ▪ Workshops: - AI Standards: brnw.ch/21wIW3t - Elevating Business through Social Values: brnw.ch/21wIW3v ▪ Presentation on how to properly evaluate the quality of Large Language Models (LLMs) ▪ At the booth We'd love to see you there!

💡 Urban planning with #OpenData and #MachineLearning. 🎤 Listen to the talk "Asynchronous Multiprocess Large Model Training on PyTorch" by Pavel Sulimov here: youtube.com/watch?v=CJBI-gfi… #DataScience @ZHAW @engineeringzhaw

⚡️Improving the #trustworthiness of critical systems like electricity, railway, air traffic control with #AI. The Centre for Artificial Intelligence (CAI) & Institute of Data Analysis and Process Design (IDP) are part of the EU HORIZON project AI4REALNET: brnw.ch/21wCKPl

Zettabytes of #data that are not integrated? 💡At a conference in Canada, @ZHAW researcher Jonathan Fürst presented a novel Machine Learning method, that helps. "VersaMatch" is a weakly-supervised ontology matching system which outperforms other systems. 👉brnw.ch/21wCsd7

🔬 Ready to make a real difference? Join the @ZHAW Hackathon LA4B and tackle the challenge of antibiotic subscription to newborns with suspected sepsis. 🩺👶 When? 27 September & 11 October Where? Roche Diagnostics, Rotkreuz, Zug Register here: brnw.ch/21wC7Io

What are attendees of the #SDS2023 saying? 🗣️ "What particularly impresses me this year is the strong focus on specific #Applications with a clear impact on business benefits. A logical follow-up question is: how #sustainable is the value creation?" - Jürg Meierhofer

"In order to unleash the potential of #AI and democratize it for small and medium-sized companies, models need to be able to run efficiently on smaller datasets." says Paul-Philipp Luley. He introduces a data-centric approach at the #SDS2023. @DataInnoCH @ZHAW @engineeringzhaw

Kurt Stockinger delivers an inspiring presentation: "#Quantum machine learning is still very much in its infancy, but it is open to all and has immense potential." 💡How can it be used for small practical problems? fal.cn/3zlxb #DataScience #SDS2023 @DataInnoCH @ZHAW

💡At the #SDS2023 Michéle Wieland presents the mitigation method "gradient reversal". This improves the #fairness when predicting the success of start ups. #DataScience @DataInnoCH @ZHAW @engineeringzhaw

The Swiss #DataScience conference has started. Looking forward to the exciting program today: fal.cn/SDS2023 Follow along #SDS2023 @DataInnoCH

Let's incorporate #fairness into Success Prediction Models for Venture Capitals. At the Swiss #DataScience Conference, Michèle Wieland will show how discriminatory bias can be significantly reduced without neglecting model performance. 👉fal.cn/3zguA #SDS2023

How can small and medium-sized enterprises adopt #AI? Paul-Philipp Luley argues for an approach that is data-centric, rather than model-centric. Find out more at the Swiss #DataScience Conference this Friday. 👉 fal.cn/3zfff #SDS2023 @DataInnoCH @ZHAW @engineeringzhaw

🇨🇭 #Chatbot to interact with #OpenData. ZHAW Datalab researchers have teamed up with the Swiss Federal Statistical Office and the Statistical Office from the Canton of Zurich to explore opendata.swiss/en in natural language. 🚀fal.cn/3zdFB #DataScience @ZHAW

There is a great potential of physics-informed data augmentation for #MachineLearning algorithms. At the Swiss #DataScienceConference, Lilach Goren Huber will show 3 use cases & how machine maintenance can be improved. 🎤fal.cn/3zczn 🔧fal.cn/3zcJS #SDS2023

🤔 How can #AI systems be fair, transparent, and explainable? For the 10th Swiss Conference on #DataScience, @vision_claire & @IB_Databooster are organizing a workshop on #ResponsibleAI. 📅 22 June ⏰09:00 – 12:00 📍 Zurich 🇨🇭 Meet Datalab experts👉 fal.cn/3z4AY

ZHAW Datalab researchers successfully used quantum computers in practice. Their novel method combines the reliability of classical computing with the ability of #quantum computing to solve complex problems fast & accurately. 🚀fal.cn/3yVFN #DataScience #MachineLearning

💡A new interdisciplinary project starts soon: #AI Infrastructure Manager for #Sustainability. ZHAW researchers will gather data on the power consumption of GPUs and analyze ways to make AI usage more sustainable & efficient. @DigitalEthics #DataScience Photo: Ricardo Farina