Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
This talk will outline the challenges of developing efficient models with limited data and resources. It will explore strategies to maximise data and model efficiency, emphasising the importance of managing large models that typically require significant computational resources and are predominantly trained on English data. It will also discuss techniques like pre-filtering, online methods, data […]
This Applied AI Lunch Talk focuses on the ethical impacts of AI products and services. You can join online by signing up here: https://stream.aidenmark.dk/applied-ai-lunch-talk-tess/join Or show up at DTU Skylab's Auditorium (Centrifugevej 373D, 2800 Lyngby) About the Talk: AI and tech ethics - Why you should build socially sustainable products and services. In this talk, […]
Abstract: In this HIDA Lecture, Ute Brönner (SINTEF Ocean, Norway) talks about the enormous potential of digital twins in ocean research. The National Academy of Sciences, Engineering, and Medicine defines a digital twin as a virtual construct that mimics the structure, context, and behaviour of a natural, technical, or social system and is dynamically updated […]
Aim and content”Please note that you will be charged a course fee, if you do not cancel your seat on time. Please read our cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-feesThis course is only intended for newly enrolled PhD students and authors with permission to hand in a PhD thesis without prior enrolment at the Graduate School of Health […]
Abstract: This online lecture delves into the pervasive integration of Large Language Models (LLMs) within numerous real-world applications, presenting both expansive opportunities for assistance across diverse tasks and formidable challenges in terms of security and safety. In contrast to previous models characterized by static generation, the dynamic, multi-turn, and adaptable nature of LLMs poses considerable […]
This presentation focuses on the social impact of large language models. The significance of generative AI for public discourse, public administration or the creation of knowledge and art will be outlined and options for action will be discussed using technology assessment - in particular its focus on shaping technological futures and the inclusion of multiple […]
This is a talk given by Prof Pierre Pinson as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: There is extensive literature on the analytics involved in the participation of renewable energy producers in electricity […]
This is a talk given by Prof Güzin Bayraksan as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: We consider data-driven approaches that integrate a machine learning prediction model within stochastic optimization, given joint observations […]
In this talk, the speaker will present some ethical considerations for dealing with hate speech. The main focus will be on how AI can help prevent the spread of hate speech and what problems this may cause. Two sets of issues need to be distinguished: firstly, hate speech on social media platforms and secondly, hate […]
This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Speaker: Cheng Peng Title: Factor Model of Mixtures Speaker: Haofeng Zhang Title: Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Speaker: Giulia Di Teodoro Title: Unboxing Tree Ensembles for interpretability: a hierarchical visualization […]
This is a talk given by Dr Bernardino Romera Paredes as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: In this talk I will present FunSearch, a method to search for new solutions in mathematics […]
Are you interested in being a part of our organization? Nomination is open for positions within our committees, advisory panel or board. You are invited to participate in our 'Join DDSA - virtual Q&A' sessions where our Managing Director Sofie Inari Castella and 2 committee members will provide a general introduction to DDSA and answer any […]
Applied AI Lunch Talks are a series of free talks where people from industry, academia, and the startup world get together to learn more about the business cases, technical challenges, ethical aspects relevant for specific applied AI use cases. On March 14th 12:00-13:00 you can attend the following two talks - either online or at […]
This is a talk given by Dr Pooja Dewan as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: This talk is going to focus on the value of Data Ecosystems, Starting with the business outcome, […]
Are you interested in being a part of our organization? Nomination is open for positions within our committees, advisory panel or board. You are invited to participate in our 'Join DDSA - virtual Q&A' sessions where our Managing Director Sofie Inari Castella and 2 committee members will provide a general introduction to DDSA and answer any […]
This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Speaker: Nathan Justin Title: Learning Optimal Classification Trees Robust to Distribution Shifts Speaker: José Ángel Martín Baos Title: Can machine learning methods effectively model travel mode choice? Beyond predictive performance Speaker: Ioana Molan Title: Learning the […]
This is a talk given by Prof Nathan Kallus as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: Predictive side information (aka context) makes optimization under uncertainty less uncertain, but leveraging it requires we learn […]
This is a talk given by Prof Stan Uryasev as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: The Support Vector Regression (SVR) is investigated in the Risk Quadrangle framework. ε-SVR and ν-SVR, correspond to […]
The unveiling of ChatGPT sparked extensive discussions on its implications for science. This lecture will delve into the dynamic interplay between Large Language Models (LLMs) and the academic landscape, exploring their potential benefits as well as the risks they pose to the science system and academic profession. Through the examination of empirical data, ethical questions […]
This is a talk given by Prof Shiqian Ma as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: Bilevel optimization has received tremendous attention recently due to its great success in machine learning applications such […]
