Konferenzen  >  Mathematik  >  Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen  >  Deutschland

Humboldt-Universität zu Berlin

Our goal with ICSB 2022 is to re-ignite the vibrant field of systems biology. We have selected a set of topics and speakers we think can excite you all and we hope you will enjoy our great city and the programme.

Our line-up of keynotes and session chairs/speakers is amazing and we encourage you all to submit talks and posters.

Please join us in making ICSB 2022 the best ICSB ever. We are going all in on trying to reboot the community after the pandemic. This meeting will be in person and full of exciting science!

The Call website can be found here on the EasyChair platform:

https://easychair.org/cfp/ICSB2022

The main conference website is https://www.icsb2022.berlin

Global INBOX;     Email: info@icsb2022.berlin

MULTI-SCALE MODELS, MACHINE LEARNING / ARTIFICIAL INTELLIGENCE, ALPHA FOLD, DEEP HIDDEN PHYSICS, SINGLE CELL MODELING, WHOLE CELL MODELING, TUMOR ECOSYSTEMS, SIGNAL TRANSDUCTION, CANCER SYSTEMS BIOLOGY, COMPUTATIONAL PATHOLOGY, IMAGING ALGORITHMS, NETWORK BIOLOGY & PRECISION MEDICINE, MICROBIOMES, CLIMATE & BIOTOPES, MODELS IN TIME AND SPACE, PLANT SYSTEMS BIOLOGY, INTEGRATION OF COMPUTATIONAL APPROACHES, CLINICAL IMPACT/CHALLENGES FOR SYSTEMS BIOLOGY, PREVENTING FUTURE PANDEMICS, POST PANDEMIC LIFE SCIENCE, YOUNG SCIENTIST FORUM, CAREER TRACK, WILDCARD *.talks

Biologie,    Simulation

Hochschule Ruhr West

The global diffusion of AI technology is progressing. The conference focuses on the economic perspective: It will address the regulatory framework and the implications for economies, strategic approaches to the use of AI as well as changing business models, business functions and processes.

Programme and Organisation Committee;     Email: info@epe.ai

Business, Economics, Artificial Intelligence, Economic Perspective, Digitalisation, Digital Transformation, Management.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Wissenschaftliches Rechnen und Datenwissenschaft,    Informations & Wissensmanagement, Big Data Computing