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Study on ship sliming suggests way to reduce costs in ocean transport
Slime build-up is a costly drag on fuel efficiency for ocean-going cargo ships, leading to more emissions and, eventually, higher consumer prices. A recent study, however, suggests a new approach to m...
Read the articleHe aims for innovative technology in medicine
Joakim Lundeberg, professor of molecular biotechnology at KTH Royal Institute of Technology, has received just over 30 million kronor from the Swedish Research Council's distinguished professor grant ...
Read the articleAI better at detecting ovarian cancer
AI-based models are better than human experts at identifying ovarian cancer via ultrasound images. This is the result of a study by researchers at KTH Royal Institute of Technology and KI.
Read the articleNews
- Study on ship sliming suggests way to reduce costs in ocean transport
20 Jan 2025
- He aims for innovative technology in medicine
14 Jan 2025
- AI better at detecting ovarian cancer
13 Jan 2025
- 60 million kronor to research center for stable 6G everywhere on earth
16 Dec 2024
- The challenge of replacing fossil fuels with hydrogen
11 Dec 2024
Researchers’ noticeboard
- Three SEED researchers have received the Formas Career Grant for Early-career Researchers
14 Nov 2024
- From idea to implemented bridge concept in public space
19 Jun 2024
- Saman wants to save the climate – with flexible energy storage
30 Apr 2024
- New EU funding boosts thermal systems research
6 Mar 2024
- Solar simulator enhances testing and training
13 Feb 2024
Calendar
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Public defences of doctoral theses
Friday 2025-01-24, 09:00
Location: Sal-C, Kistagången 16
Doctoral student: Edvin Listo Zec , Programvaruteknik och datorsystem, SCS
2025-01-24T09:00:00.000+01:00 2025-01-24T09:00:00.000+01:00 Decentralized deep learning in statistically heterogeneous environments (Public defences of doctoral theses) Sal-C, Kistagången 16 (KTH, Stockholm, Sweden)Decentralized deep learning in statistically heterogeneous environments (Public defences of doctoral theses) -
Public defences of doctoral theses
Friday 2025-01-24, 09:00
Location: Gladan, Brinellvägen 85, Stockholm
Video link: https://kth-se.zoom.us/j/66216944295
Doctoral student: Lifei Tang , Mekatronik och inbyggda styrsystem
2025-01-24T09:00:00.000+01:00 2025-01-24T09:00:00.000+01:00 AI Driven Smart Tightening and Feature Management System for Agile Assembly (Public defences of doctoral theses) Gladan, Brinellvägen 85, Stockholm (KTH, Stockholm, Sweden)AI Driven Smart Tightening and Feature Management System for Agile Assembly (Public defences of doctoral theses) -
Public defences of doctoral theses
Monday 2025-01-27, 13:00
Location: T2 (Jacobssonsalen), Hälsovägen 11C, Huddinge
Video link: https://kth-se.zoom.us/j/63344888971
Doctoral student: Luca Marzano , Hälsoinformatik och logistik
2025-01-27T13:00:00.000+01:00 2025-01-27T13:00:00.000+01:00 Perspectives on designing data-driven approaches in healthcare based on real-world evidence (Public defences of doctoral theses) T2 (Jacobssonsalen), Hälsovägen 11C, Huddinge (KTH, Stockholm, Sweden)Perspectives on designing data-driven approaches in healthcare based on real-world evidence (Public defences of doctoral theses)