Philipp Marienhagen: Calculation of equation-of-state data in many-particle systems consisting of hard-anisotropic particles
Yannis Schumann: Distinguishing Molecular Tumor Subgroups Using Deep Learning
data science
Events
Saturday, June 01th, 2024 | 11:00 -19:00 p.m.
Science City Day 2024
Science City Hamburg Bahrenfeld, Campus Bahrenfeld, 22607 Hamburg
Ein neuer Stadtteil entsteht – die Science City Hamburg Bahrenfeld. Das wollen wir gemeinsam mit Ihnen feiern. Wir laden Sie herzlich ein, mit uns am 1. Juni 2024 die Vision und die Menschen kennenzulernen.
Die Zukunft? In Bahrenfeld!
Am Science City Day öffnen wir Ihnen die Türen in die Zukunft: Erleben Sie die Faszination von Wissenschaft, Experimenten und Superforschungsanlagen rund um den Campus Bahrenfeld – und lernen Sie rund um das Science City Infocenter am Albert-Einstein-Ring noch mehr Projekte und Beteiligte kennen, die den Stadtteil durch ihre lebendigen Ideen mitgestalten.
Das erwartet Sie:
Experimente hautnah erleben, Forschenden bei ihrer Arbeit über die Schulter schauen und bei Aktionen selbst mitmachen – am Science City Day können Sie tief in die Zukunftsvision des Stadtteils eintauchen und einen Tag voller Erlebnisse verbringen. Kinder sind beim Science City Day genauso herzlich willkommen wie Erwachsene!
Alle Veranstaltungen sind kostenfrei. Sie können ohne Anmeldung dabei sein. Details zum Programm? Finden Sie in Kürze auf sciencecityday.de!
Institution
- Science City Hamburg Bahrenfeld GmbH
Thursday, 27th April | 14:30-16:00 p.m
Seminar Series: Computation & Data
Container Building C2/S2 (near Grandplatz), room 113-115 Holstenhofweg 85, Hamburg
Institutions
Monday, July 08th, 2024 | 10:00 a.m
Seminar über kausales maschinelles Lernen
Hybrid: Haus der Betriebswirtschaft, Moorweidenstraße 18, 20148 Hamburg, Raum 005
Gastvortrag von Lin Jia, Senior Data Scientists bei Booking.com. Sie wird an unserem Seminar über kausales maschinelles Lernen am 8. Juli 2024 teilnehmen und über vergangene und aktuelle Projekte zu kausaler Inferenz und kausalem maschinellem Lernen bei Booking.com referieren.
Booking.com ist eine der weltweit führenden digitalen Reise-Plattformen und verfügt über ein starkes Team von Datenwissenschaftlern, die Experten sind in der Anwendung und Entwicklung von Methoden für kausale Analysen und maschinelles Lernen in der Industrie.
Über die Referentin: Lin Jia ist eine leitende Datenwissenschaftlerin bei Booking.com. Sie ist spezialisiert auf die Verwendung von kausalen Beobachtungsansätzen zur Bewertung der Auswirkungen von Produktänderungen und leitet die Initiative zur Durchführung robuster und transparenter Kausalanalysen bei Booking.com. Sie wird ihre Erfahrungen aus verschiedenen Projekten zur kausalen Inferenz bei Booking.com teilen.
Der Vortrag ist offen für alle interessierten Forscher:innen und Studierenden, die etwas über die Aktivitäten der Industrie in der kausalen Datenwissenschaft erfahren möchten.
Institutions
- Fakultät für Betriebswirtschaft, Lehrstuhl für Statistik
Tuesday, April 23th, 2024 | 14:00 p.m.
Systems Biology of Cancer - BNITM seminar series "AI in Biology and Medicine".
BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg
bAIome Center for biomedical AI (UKE) and Bernhard Nocht Institute for Tropical Medicine (BNITM) will host the seminar series entitled “AI in biology and Medicine”. This series aims to capture a broad audience and promote cross institutional collaboration. Our expert speakers will give an overview and insight into particular AI/data science methods being developed in key areas of biology and medicine. We will have drinks and snacks following each seminar to facilitate exchange.
Angela Relógio, Medical School Hamburg MSH
For further details and hybrid links, please go to the webpage AI in Biology & Medicine
Institutions
Tuesday, February 20th, 2024 | 14:00 p.m.
Technical foundations of Large Language Models, their applications and limitations - BNITM seminar series "AI in Biology and Medicine".
BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg
bAIome Center for biomedical AI (UKE) and Bernhard Nocht Institute for Tropical Medicine (BNITM) will host the seminar series entitled “AI in biology and Medicine”. This series aims to capture a broad audience and promote cross institutional collaboration. Our expert speakers will give an overview and insight into particular AI/data science methods being developed in key areas of biology and medicine. We will have drinks and snacks following each seminar to facilitate exchange.
Christopher Gundler, Institute for Applied Medical Informatics, UKE
For further details and hybrid links, please go to the webpage AI in Biology & Medicine
Institutions
Monday, January 29th, 2024 | 16:00 - 17:00 p.m.
Train Your Engineering - Data-driven methods for the Maxey-Riley equations
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Niklas Dieckow - Data-driven methods for the Maxey-Riley equations
The Maxey-Riley equations (MRE) describe the motion of a small inertial particle suspended in a fluid flow. They are a system of implicit integro-differential equations with a singular kernel. Exact solution methods require the evaluation of an integral over the entire particle history in each time step, causing the computation time to grow quadratically in the number of steps. In this talk, data-driven methods such as SINDy (Sparse Identification of Nonlinear Dynamics) are discussed and employed to obtain approximations of the MRE that do not contain an integral term and are therefore easier to solve.
Lectures will be held online via Zoom on Mondays starting at 16:00 in the winter semester 2023 in English. General zoom link for all lectures: Link
Institutions
Monday, April 29th, 2024 | 16:00 p.m.
Train Your Engineering - Development of a Conversational Interface Based on Institution-Specific Documentation Through LLM Finetuning
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Johanna Gleichauf - Sensor Fusion for the Robust Detection of Facial Regions of Neonates Using Neural Networks
All talks will be streamed via Zoom using https://tuhh.zoom.us/j/85203195489?pwd=K21saVMvZHc0d2NoNHd2bDZ6TmdDUT09
Meeting-ID: 852 0319 5489
Code: 827469
Institutions
Monday, April 22th, 2024 | 16:00 p.m.
Train Your Engineering - Development of a Conversational Interface Based on Institution-Specific Documentation Through LLM Finetuning
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Philip Suskin - Development of a Conversational Interface Based on Institution-Specific Documentation Through LLM Finetuning
All talks will be streamed via Zoom using https://tuhh.zoom.us/j/85203195489?pwd=K21saVMvZHc0d2NoNHd2bDZ6TmdDUT09
Meeting-ID: 852 0319 5489
Code: 827469
Institutions
Monday, January 22th, 2024 | 16:00 - 17:00 p.m.
Train Your Engineering - Parameter Efficient Fine Tuning for a Domain-Specific Automatic Speech Recognition
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Emin Nakilcioglu - Parameter Efficient Fine Tuning for a Domain-Specific Automatic Speech Recognition
With the introduction of early pre-trained language models such as Google’s BERT and various early GPT models, we have seen an ever-increasing excitement and interest in foundation models. To leverage existing pre-trained foundation models and adapt them to specific tasks or domains, these models need to be fine-tuned using domain-specific data. However, fine-tuning can be quite resource-intensive and costly as millions of parameters will be modified as part of training. PEFT is a technique designed to fine-tune models while minimizing the need for extensive resources and cost. It achieves this efficiency by freezing some of the layers of the pre-trained model and only fine-tuning the last few layers that are specific to the downstream task. With the help of PEFT, we can achieve a balance between retaining valuable knowledge from the pre-trained model and adapting it effectively to the downstream task with fewer parameters.
Lectures will be held online via Zoom on Mondays starting at 16:00 in the winter semester 2023 in English. General zoom link for all lectures: Link
Institutions
Monday, November 6th, 2023 | 16:00 - 17:00 p.m.
Train Your Engineering Network - AI for engineering and science: selected use cases
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Alexander Itin - AI for engineering and science: selected use cases
Its going to be a little bit chaotic talk with many use cases. My scientific background is dynamical systems and condensed matter physics. I switched from academic to industrial research at some point, joining Bosch Research, and did many interesting projects there. I then gradually returned back to academy. I will briefly discuss applications of AI in engineering, and in a more detail in science: how they are different and what have in common. Such use cases as virtual sensors, synthetic FIB/SEM data generation, anomaly detection in manufacturing, etc, will be briefly reviewed (engineering). I will consider in a little bit more detail inverse design of photonic structures using generative AI, predictive physics-informed models, acceleration of solvers using AI (science).
Lectures will be held online via Zoom on Mondays starting at 16:00 in the winter semester 2023 in English. General zoom link for all lectures: Link
Institutions
Monday, July 08th, 2024 | 16:00 p.m.
Train Your Engineering Network - An Introduction to Human-in-the-loop Machine Learning
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Niklas Dieckow
All talks will be streamed via Zoom using https://tuhh.zoom.us/j/85203195489?pwd=K21saVMvZHc0d2NoNHd2bDZ6TmdDUT09
Meeting-ID: 852 0319 5489
Code: 827469
Institutions
Monday, June 03th, 2024 | 16:00 p.m.
Train Your Engineering Network - Brake particle emission predictions using Deep Learning
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Nathanael Winter
Following the successful application of machine learning methods in order to predict brake squeal as a classification task, this contribution addresses the transfer of those methods on to particle emission data, in order to correctly predict brake particle emissions as a regression task. First results proving the transferability of those methods will be presented.
All talks will be streamed via Zoom using https://tuhh.zoom.us/j/85203195489?pwd=K21saVMvZHc0d2NoNHd2bDZ6TmdDUT09
Meeting-ID: 852 0319 5489
Code: 827469
Institutions
Monday, December 11th, 2023 | 16:00 - 17:00 p.m.
Train Your Engineering Network - Development of a black-box soft sensor for a fluidization process
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Robert Kräuter - Development of a black-box soft sensor for a fluidization process
Solids water content is an important particle property in many applications of process engineering. Its importance on the quality of pharmaceutical formulations makes an in-line measurement of the water content especially desirable in fluidization processes. However, currently available measurement techniques are difficult to calibrate and scarcely applicable in real fluidized beds. A promising strategy for in-line monitoring of the water content is thus soft sensing, a method that expresses the targeted quantity as a correlation of other more reliable measurements. In this talk, we present the development of such a soft sensor using various black-box models. Our focus lies on strategies to reduce overfitting through feature engineering and hyperparameter tuning. These models are designed for processing real experimental data from a turbulent process, addressing challenges in data filtering, undersampling, outlier detection, and uncertainty propagation.
Lectures will be held online via Zoom on Mondays starting at 16:00 in the winter semester 2023 in English. General zoom link for all lectures: Link
Institutions
Monday, June 24th, 2024 | 16:00 p.m.
Train Your Engineering Network - Ethics in Machine Learning
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Maximilian Kiener
In this talk, I explore the role of ethics in the development of AI and advanced machine learning. I argue that ethics is deeply integrated into powerful AI systems so that one cannot easily remove it without serious impairment of other aspects of the system’s intelligence and problem-solving capacities. On this basis, I develop a novel and more radical framework for ethics by design.
All talks will be streamed via Zoom using https://tuhh.zoom.us/j/85203195489?pwd=K21saVMvZHc0d2NoNHd2bDZ6TmdDUT09
Meeting-ID: 852 0319 5489
Code: 827469
Institutions
Monday, November 13th, 2023 | 16:00 - 17:00 p.m.
Train Your Engineering Network - Flow-induced bases and application to quantum molecular physics
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Yahya Saleh - Flow-induced bases and application to quantum molecular physics
In analogy to the use of normalizing flows to augment the expressivity of base probability distributions, I propose to augment the expressivity of bases of Hilbert spaces via composition with normalizing flows. I show that the resulting sequences are also bases of the Hilbert space under sufficient and necessary conditions on the flow. This lays a foundation for a theory of spectral learning, a nonlinear extension of spectral methods for solving differential equations. As an application I solve the vibrational molecular Schrödinger equation. The proposed numerical scheme results in several orders of magnitude increased accuracy over the use of standard spectral methods.
Lectures will be held online via Zoom on Mondays starting at 16:00 in the winter semester 2023 in English. General zoom link for all lectures: Link
Institutions
Monday, November 27th, 2023 | 16:00 - 17:00 p.m.
Train Your Engineering Network - Generalizability and explainability of machine learning models for fatigue strength prediction of welded joints
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Moritz Braun - Generalizability and explainability of machine learning models for fatigue strength prediction of welded joints
Lectures will be held online via Zoom on Mondays starting at 16:00 in the winter semester 2023 in English. General zoom link for all lectures: Link
Institutions
Monday, July 01th, 2024 | 16:00 p.m.
Train Your Engineering Network - Generalizability of LLMs and Feature-based Active Learning
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Marius Tacke
All talks will be streamed via Zoom using https://tuhh.zoom.us/j/85203195489?pwd=K21saVMvZHc0d2NoNHd2bDZ6TmdDUT09
Meeting-ID: 852 0319 5489
Code: 827469
Institutions
Monday, June 17th, 2024 | 16:00 p.m.
Train Your Engineering Network - GENO - Optimization for Classical Machine Learning Made Fast and Easy
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Sören Laue
Most problems from classical machine learning can be cast as an optimization problem. I will present GENO (GENeric Optimization), a framework that lets the user specify a constrained or unconstrained optimization problem in an easy-to-read modeling language. GENO then generates a solver that can solve this class of optimization problems. The generated solver is usually as fast as hand-written, problem-specific, and well-engineered solvers. Often the solvers generated by GENO are faster by a large margin compared to recently developed solvers that are tailored to a specific problem class. I will dig into some of the algorithmic details, e.g., computing derivatives of matrix and tensor expressions, the optimization methods used in GENO, and their implementation in Python.
All talks will be streamed via Zoom using https://tuhh.zoom.us/j/85203195489?pwd=K21saVMvZHc0d2NoNHd2bDZ6TmdDUT09
Meeting-ID: 852 0319 5489
Code: 827469
Institutions
Monday, January 08th, 2024 | 16:00 - 17:00 p.m.
Train Your Engineering Network - Hindsight Instruction Grounding in Reinforcement Learning
via Zoom
The presentation series “Train your engineering network” on diverse topics of Machine Learning addresses all interested persons at TUHH, from MLE partners as well as from the Hamburg region in general and aims at promoting the exchange of information and knowledge between these persons as well as their networking in a relaxed atmosphere. Thereby, the machine learning activities within MLE, TUHH and in the wider environment shall be made more visible, cooperations shall be promoted and also interested students shall be given an insight.
Frank Röder - Hindsight Instruction Grounding in Reinforcement Learning
This presentation addresses the challenge of sample inefficiency in robotic reinforcement learning with sparse rewards and natural language goal representations. We introduce a mechanism for hindsight instruction replay, leveraging expert feedback, and a seq2seq model for generating linguistic hindsight instructions. Remarkably, our findings demonstrate that self-supervised language generation, where the agent autonomously generates linguistic instructions, significantly enhances learning performance. These results underscore the promising potential of hindsight instruction grounding in reinforcement learning for robotics.
Lectures will be held online via Zoom on Mondays starting at 16:00 in the winter semester 2023 in English. General zoom link for all lectures: Link
Institutions
People
Sonja Hänzelmann
Head of Data Science at Alfred Wegener Institut
s.haenzelmann@uke.de
Universität Hamburg
Adeline Scharfenberg