About adminsun

This author has not yet filled in any details.
So far adminsun has created 47 blog entries.

Prof. Dr. Jens Lehmann

By |2024-04-15T12:10:31+02:00April 26th, 2023|

PhD Supervisor Nature-Inspired Machine Learning (NIMI) Principal Scientist, Amazon AGI (Artificial General Intelligence)Honorary Professor at TU DresdenMember of InfAIProf. Dr. Jens Lehmann is a Principal Scientist at Amazon where he works at the AGI (Artificial General Intelligence) organisation on advancing large language models, conversational AI and [...]

Dr. Roman Liessner

By |2025-03-11T12:27:49+01:00April 26th, 2023|

Senior Researcher Nature-Inspired Machine Learning (NIMI) Roman Liessner is a mechatronics engineer with over 10 years of experience in developing cutting-edge applications with machine learning. He has a PhD in reinforcement learning with application in energy management. In his spare time, he enjoys [...]

Nikhil Ostwal

By |2023-12-10T19:03:58+01:00April 26th, 2023|

Student Assistant Nature-Inspired Machine Learning (NIMI) Nature, and all that it encompasses, has influenced computer science, in particular Artificial Intelligence, from its inception. Many effective tools, mechanisms, processes, algorithms, methods, and systems have been proposed inspired by nature. For example, Neural Networks [...]

Baraa Hassan

By |2023-04-17T11:15:03+02:00April 17th, 2023|

Student Assistant Nature-Inspired Machine Learning (NIMI) Nature, and all that it encompasses, has influenced computer science, in particular Artificial Intelligence, from its inception. Many effective tools, mechanisms, processes, algorithms, methods, and systems have been proposed inspired by nature. For example, Neural Networks are [...]

Dhananjay Bhandiwad

By |2023-05-30T11:52:59+02:00April 5th, 2023|

Research Associate Nature-Inspired Machine Learning (NIMI) Nature, and all that it encompasses, has influenced computer science, in particular Artificial Intelligence, from its inception. Many effective tools, mechanisms, processes, algorithms, methods, and systems have been proposed inspired by nature. For example, Neural Networks are [...]

Preetam Gattogi

By |2023-12-12T08:05:56+01:00April 4th, 2023|

Research Associate Nature-Inspired Machine Learning (NIMI) Preetam, a researcher at the ScadDS.AI center, focuses on investigating the factual accuracy of large language models. His research is uniquely centered on human and mind-inspired intelligence to refine the precision of these language models. Within the [...]

Nur A Zarin Nishat

By |2023-12-12T17:33:29+01:00April 3rd, 2023|

Student Assistant Nature-Inspired Machine Learning (NIMI) A Master’s student in the computational modeling and simulation in life sciences program at TU Dresden. Previously worked at Siemens. Current research interests lie in the application of knowledge graph embedding and machine learning in the [...]

Wiem Gargouri

By |2023-12-12T07:23:31+01:00April 2nd, 2023|

DAAD Research Nature-Inspired Machine Learning (NIMI) Wiem Gargouri holds a DAAD scholarship to do a research visit at NIMI. She is joining us from the Institut Supérieur des Sciences Appliquées et de Technologie de Sousse (Higher Institute of Applied Science and Technology [...]

e-VITA

By |2023-04-30T10:55:23+02:00April 1st, 2023|

The overall objective of e-VITA is to improve well-being in older adults in Europe and Japan  and thereby promote active and healthy ageing, contribute to independent living, and reduce risks of social exclusion of older adults. The multidisciplinary consortium collaborating in this project will develop an innovative ICT-based virtual coaching system to detect subtle changes in physical, cognitive, psychological and [...]

IntelliLung EU 2.0

By |2024-07-16T11:28:57+02:00March 30th, 2023|

Invasive mechanical ventilation is one of the most important and life-saving therapies in the intensive care unit (ICU). In most severe cases, when mechanical ventilation alone is insufficient, extracorporeal lung support is initiated. However, mechanical ventilation is recognised as potentially harmful, because inappropriate mechanical ventilation settings in intensive care unit patients are associated with [...]

Go to Top