Deep Learning: The Workhorse of Modern AI
RISE's deep learning research spans image analysis, autonomous vehicles, anomaly detection, and privacy-preserving AI, pushing the frontiers of what machine learning can achieve.
RISE identifies deep learning as “the modern day work-horse powering many recent solutions in artificial intelligence, including ChatGPT, DALL-E, and autonomous driving.” The organization’s research pushes the boundaries of what these technologies can achieve.
Key Applications
RISE highlights deep learning’s transformative impact across domains:
- Image analysis and computer vision - From industrial inspection to medical imaging
- Natural language processing - Machine translation, text categorization
- Autonomous vehicle technology - Perception and decision systems
- Smartphone features - Facial recognition and intelligent assistants
- Anomaly detection - Finding unusual patterns in automotive and industrial data
Research Focus Areas
RISE’s deep learning projects explore diverse applications:
- Image analysis for fashion and retail
- Privacy-preserving image anonymization
- Uncertainty calculations for computational fluid dynamics
- Anomaly detection systems for automotive applications
The Expert Team
RISE has assembled a strong team of deep learning researchers:
- Olof Mogren (Senior Researcher, lead contact)
- Sepideh Pashami
- Olof Gornerup
- Aleksis Pirinen
- Maria Bankestad
- John Martinsson
- Fredrik Carlsson
Research Principles
Three principles guide RISE’s deep learning work:
- Privacy - Developing methods that protect sensitive data
- Efficiency - Creating models that work with limited resources
- Sustainability - Reducing the environmental footprint of AI
Connections to Application Domains
Deep learning research at RISE connects to real-world impact areas:
- Environmental research and climate modeling
- Energy sector optimization
- Process industry improvements
- Public sector services
Looking Forward
As deep learning continues to advance, RISE’s combination of fundamental research and practical application ensures that Sweden remains at the forefront of AI capability development.
