data science

Prof. Marco Cuturi, Professor of Statistics, CREST - ENSAE, Institut Polytechnique de Paris
Research Scientist, Apple ML Research, Paris

In his talk, Prof. Cuturi wil cover the basics of the Kantorovich and Monge optimal transportation problems. In the following, he will proceed with an exposition of various approaches recently proposed to estimate optimal transport maps at scale, using samples from two probability distributions and neural networks.

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.

René Werner, Institute for Applied Medical Informatics, UKE

For further details and hybrid links, please go to the webpage AI in Biology & Medicine

unfortunately, today's talk has to be cancelled. We are very sorry

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.

Patrick Sontheimer - Long short-term memory for surrogate modeling

Long-Short Term Memory is a gated architecture designed to combat the vanishing/exploding gradient problem in recurrent neural networks (RNN). In the presentation, time series regression will be performed on multiple-input multiple-output data, to create a surrogate Model.

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

SPEAKER: Associate Professor Michelle E. Farkas, Department of Chemistry, University of Massachusetts Amherst, USA

SUMMARY: As biology is by nature dynamic, so must be the nature of the tools used for its tracking and modulation. My lab is interested in the development of platforms for following and studying circadian rhythms in the context of cancer. It is appreciated that altered circadian rhythms can contribute to a variety of disease pathologies, including cancer. We are using and developing reporter systems to gain a more detailed picture of oscillations and how they change with cancer type. We are also interested in the use of small molecules and other approaches to directly affect
circadian rhythms.

The seminar is open to interested colleagues and students!

Teams (to join online, please click here)
CONTACT: Prof. Dr. Angela Relόgio

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.

Marina Zimmermann, professor of computational pathology (UKE) will speak about the gap between research and clinics and the factors that contribute to this, such as the focus on reproducing subjective scores and the large variance in performance depending on the data source. She will look into overcoming subjective scores by introducing objective endpoints, as well as developing quantifiable and objective metrics based on specialised microscopy types. In order to further close the gap, she will address domain shifts between datasets and generalizability, as well as measures of uncertainty to defer uncertain decisions.

A hybrid option will be provided using the following link: https://us02web.zoom.us/j/87481976655?pwd=NytjVFVXaUJIN1hVSW91aFNSSGRSUT09

Meeting-ID: 874 8197 6655
Kenncode: 097471

As the year is approaching its end, we cordially invite you to this year's last Data Science Colloquium on December 19th, 2024, at 5 pm at the Albert-Einstein-Ring 8-10 on Campus Bahrenfeld (https://g.co/kgs/5eMwmnz, Ground Floor, Rooms 5 & 10). We look forward to talks by DASHH researchers Prof. Christian Schwanenberger and Dr. Andrea Thorn on current opportunities and challenges for artificial intelligence in particle physics & structural biology.

We hope to meet you for discussions after the talks with some snacks & hot beverages in a cheerful atmosphere.

We invite you to join us in celebrating and promoting the new W1 Professorship appointments in the areas of data science and AI at UKE. The Data Science and AI Inaugural Lectures 2023 will take place on Thursday 13th July, 15:00-18:00 at Erika-Haus, UKE. This will be a great opportunity to get to know the professors and their research topics in the areas of data science and AI relevant to biomedicine and with broad application in the clinic.

bAIome, the Center for Biomedical AI at UKE, which brings together UKE faculty members with international background and expertise in diverse areas relevant to AI including high performance computation, data science, mathematics, and biomedical research, will be hosting this event and following the inaugural lectures will showcase current research projects and ventures with a poster session during the reception to provide a great environment for networking and cooperation.

RSVP a.reinicke-vogt@uke.de

The Data Science Colloquium is an event jointly organized by DASHH, the Center for Data and Computing in Natural Sciences (CDCS), the clusters of excellence CUI - Advanced Imaging of Matter and Quantum Universe of the Universität Hamburg (UHH), the Department of Informatics of the UHH, the Institute of Mathematics of the Hamburg University of Technology, ahoi.digital - the Alliance of Hamburg Universities for Computer Science and the Wolfgang Pauli Centre.

We are looking forward to the talk of Dr. Wolfgang Hildesheim (IBM Deutschland GmbH, Head of Data Science & Artificial Intelligence, AI advisor, AI ambassador & thought leader) on Thursday, August 22nd, 2024 at 5 pm (on-site). His talk is entitled "AI in Industry | Opportunities and Use Cases". The official announcement and abstract of the talk can be found here.

These events are an ideal opportunity to meet renowned scientists and discuss recent Data Science challenges.

Please subscribe here for news and Zoom links regarding our colloquia or contact dashh-office@desy.de for the individual Zoom link of an online event!

Institutions

• DDLitLab, ISA-Zentrum

In der Gesprächsreihe DDLitLab im Dialog gehen wir gemeinsam mit Expertinnen und Experten aktuellen Perspektiven, Projekten und Debatten über Daten- und Digitalkompetenzen im Zeichen innovativer Hochschullehre auf den Grund. Ziel ist es, eine offenen Raum zu schaffen, in dem die Teilnehmenden sich über ihre Erfahrungen und Gedanken mit ausgewählten Referent:innen zu aktuellen Entwicklungen austauschen können.   

In diesem Semester starten wir mit Prof. Dr. Christopher Buschow (Hamburg Media School) und Dr. Daniel Possler (Universität Würzburg) mit ihrem Seminarkonzept zum Thema „Data Driven Business Models“. Im Rahmen eines Seminars „Data Driven Business Model Generation“ und einer entsprechenden Ringvorlesung am Institut für Journalistik und Kommunikationsforschung (IJK) der Hochschule für Musik, Theater und Medien Hannover haben sie die veränderten Anforderungen an Medienunternehmen und die Grundlagen datengetriebener Geschäftsmodellen vertieft. Welche Datensätze werden in (Medien)Unternehmen gesammelt und wie werden sie aufbereitet? Wie werden Geschäftsmodelle rund um diese Daten entwickelt? Welche technologischen, ethischen und gesamtgesellschaftlichen Aspekte werden bei datenbasierten Geschäftsmodellen beleuchtet?

Sowohl Mitglieder der UHH als auch externe Gäste sind herzlich dazu eingeladen, sich aktiv an unseren Gesprächsrunden zu beteiligen!

Präsenz und via Zoom. Die Zugangsdaten für die digitale Teilnahme via Zoom erhalten Sie nach Ihrer Anmeldung kurz vor dem Termin per E-Mail.

Institutions

• DDLitLab, ISA-Zentrum

The two-day event "Digital Total" is organized and conducted by the House of Computing & Data Science (HCDS) of the Universität Hamburg, in collaboration with partners from the scientific platform PIER PLUS and the Academy of Sciences and Humanities in Hamburg.

Day 1 - Computing & Data Science in the Metropolitan Region

The goal of the first day, which is co-organized by CDCS, is to showcase and consolidate the topics of Data Science / AI / Computation, which are strongly represented in the Hamburg Metropolitan Region. A key focus will be the discussion on a common PIER PLUS initiative called "PIER Computing and Data Science." Additionally, the Academy of Sciences and Humanities in Hamburg will host an interdisciplinary forum for exchanging ideas about the future of digital transformation in the metropolitan region and potential synergies among cross-institutional initiatives. The first day will be concluded with a social event in the evening.

Day 2 - Computing & Data Science at the Universität Hamburg

The second day will focus on Data Science / AI / Computation at the Universität Hamburg. It will also serve as the kickoff for introducing the Cross-Disciplinary Labs (CDLs) located within HCDS.

Alongside the presentations in Audimax 1 & 2, the foyer will feature posters showcasing various projects throughout the event, presented during two poster sessions on Day 1 and 2.

A detailed program and registration for Digital Total can be found here

As we had a very positive echo of the Summer School 2023 “Data Science for Explainable and Trustworthy AI”, another one will be organised in 2024 on the topic of “Generative AI”.

The rise of Generative AI, especially with the advancements in Large Language Models (LLMs), marks a transformative era in artificial intelligence that is expanding across all disciplines. LLMs aim to bridge the communication gap between machines and humans, paving the way for models that can grasp the nuances of human language and generate outputs in various formats that mimic human cognition and creativity.
The critical moment for Generative AI came with the adoption of neural networks, particularly transformer-based architectures, which have become its backbone. These models stand out for their profound ability to digest and learn from extensive corpora and datasets, and also to generate original, contextually rich content. But we are just at the beginning. The emerging models present challenges related to ethics, reliability, the way we experiment with these models, the scope of their inferences, their applications to more specific domains, etc. All this has created a vibrant field of work and opens the doors to a community that we hope will find the right forum in this Summer School.

Institutions

• STATEC, Luxembourg; EuADS Treasurer
• U of Bristol, UK; EuADS Vice-President
• U of Göttingen, Germany
• Germany; EuADS Vice-President
• LMU Munich, Germany; EuADS President
• U of Essex, UK
• CUNEF Universidad, Spain
• U of Cordoba, Spain
• STATEC, Luxembourg
• Bielefeld Center for Data Science, Germany

The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software. The seminar series is typically scheduled for the last Thursday every month, 14:30-16:00, with 1-2 presentations per hybrid session (digital and at HSU)

Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”

Die Metropolregion Hamburg erlebt einen Schub an Forschungsaktivitäten an der Schnittstelle von Künstlicher Intelligenz (KI) und ihren Anwendungen in den Natur- und Ingenieurwissenschaften. Mit namhaften Exzellenzclustern in Physik und Klimawissenschaften hat sich Hamburg zu einer führenden Region bei der Entwicklung und Anwendung von KI-Techniken entwickelt. Die Hamburg Virtual Initiative for Science & Technology in AI (Hamburg VISTA) zielt darauf ab, die Lücke zwischen den Forschungsbemühungen zu schließen und das volle Potenzial von KI in der Hamburger Hochschullandschaft zu erschließen. Im Mittelpunkt von Hamburg VISTA steht der Anspruch, die interdisziplinäre Zusammenarbeit zu stärken und latente Synergien zu erschließen.

Wir freuen uns, Sie zur ersten VISTA Veranstaltung einzuladen.

Agenda
• Vorstellung VISTA
• Vortrag: The road to AI based discovery von Gregor Kasieczka
• Vortrag: Ghostplay - AI for Defence von Gary Schaal

Bitte senden Sie eine kurze Mitteilung an fasslm@hsu-hh.de für einen reibungslosen Zugang zur HSU

If you are looking for the third edition of our Incubator Summer Academy, you can end your search right here! As of this year, the jointly organized summer school by the five Information & Data Science platforms Helmholtz AI, Helmholtz Imaging, HIFIS, HIDA and HMC, is rebranded to the

All platforms have teamed up to design a course program that not only covers a great variety of skills, tools, and topics in the field of Information & Data Science suitable for participants with varying degrees of previous knowledge. We created course packages and transferred them into a coordinated two-week summer school program, allowing participants to select course packages that best suit their interest and experience level.
Have a look at all course packages

The Helmholtz Summer School is open to all researchers and staff in the Helmholtz Association. Additionally, a small number of seats are reserved for Master students, doctoral and postdoctoral researchers from other research institutions and universities.
We are excited to present three specialized courses:

1. Regularization in Image Reconstruction: From Model to Data Driven Methods (Course 10)
2. Introduction to Image Registration (Course 11)
3. 3D Visualization (Course 12)

Registration will open on August 12 at noon and close on August 25, 2024. Questions? Write us at hida-courses@helmholtz.de. Agenda & Registration (registration opens August 12)

HITeC e.V. ist das Forschungs- und Technologietransferzentrum des Fachbereichs Informatik der Universität Hamburg. Aufgrund seines unabhängigen Status bietet HITeC flexible und professionelle Kooperationsmöglichkeiten. HITeC-Lösungen basieren auf neuesten Forschungsergebnissen und verschaffen Vorteile durch innovative Technologien.

Das House of Computing and Data Science (HCDS) der Universität Hamburg fördert gemeinsam mit wissenschaftlichen Partner:innen in der Metropolregion die interdisziplinäre Erforschung und Anwendung innovativer digitaler Methoden. Es unterstützt die Nutzung der Potentiale der Digitalisierung und Künstlicher Intelligenz in der Forschung und bietet einen niederschwelligen Zugang zu digitalen Methoden. Das Methodenkompetenzzentrum des HCDS ermöglicht verschiedenen Disziplinen und Projekten den Austausch und die Zusammenarbeit in den Cross-Disciplinary Labs, die an der Schnittstelle zwischen Methoden- und Anwendungswissenschaften angesiedelt sind. Darüber hinaus koordiniert das HCDS das Netzwerk "KIEZ of Computing and Data Science", eine Plattform zur Vernetzung aller Bereiche der Datenwissenschaft, Computation und maschinelles Lernen in der Metropolregion Hamburg.

Institution

• Maritimes Cluster Norddeutschland

The School of Electrical Engineering, Computer Science and Mathematics at the Hamburg University of Technology (TUHH) is pleased to share another inaugural lecture and research talk from the field of Data Science with the entire TUHH and with the public as part of its colloquium.

Program:

• Welcome
  Prof. Dr.-Ing. Irina Smirnova, Vizepräsidentin Forschung, TUHH
  Prof. Dr.-Ing. Gerhard Bauch, Studiendekan EIM, TUHH
• Inaugural Lecture “From obeying AIs to collaborative agents: a human-centric view“
  Dr. Pierre-Alexandre Murena, Human-Centric Machine Learning Institute, TUHH
• Guest talk “Towards machines that understand people”
  Dr. Andrew Howes, University of Exeter
• Get together
  Foyer, Building II, TUHH Campus

Online participation via Zoom is also possible. You will get the zoom link after registration