Uploaded July 2026 | Updated September 2026, 2 weeks ago
đĽ Interview with Kieran Carrigg | Efficient Deep Learning, Sustainable AI & Vision Transformers | CVC 2026 Amsterdam
In this exclusive interview recorded at CVC 2026 in Amsterdam, we speak with Kieran Carrigg, PhD Candidate at the Donders Institute for Brain, Cognition, and Behaviour and Radboud University, about his cutting-edge research in efficient deep learning, computer vision, and sustainable artificial intelligence.
Kieran shares his academic journey from studying Artificial Intelligence in the Netherlands to pursuing a PhD focused on making deep learning models faster, more energy-efficient, and environmentally sustainable. He discusses his latest research on accelerating Vision Transformers through decorrelation techniques, a promising approach that reduces training time while maintaining model performance.
The conversation explores the growing importance of Sustainable AI, efficient machine learning, transformer architectures, and real-world industrial applications. Kieran also reveals how an unexpected experiment led to a breakthrough discovery that is already being adopted in industry to improve AI training pipelines.
đš Topics Covered:
⢠Efficient Deep Learning
⢠Sustainable AI and Green AI
⢠Vision Transformers (ViTs)
⢠Computer Vision Research
⢠Transformer Architectures
⢠AI Model Optimization
⢠Energy-Efficient Machine Learning
⢠Deep Learning Training Acceleration
⢠Industrial AI Applications
⢠AI Research and Innovation
⢠PhD Research Journey
⢠Future of Computer Vision
đ¨âđŹ About the Speaker:
Kieran Carrigg is a PhD Candidate at the Donders Institute for Brain, Cognition, and Behaviour and Radboud University. He is affiliated with the Artificial Cognitive Systems Lab and the ICAI ASMPT Lab. His research focuses on efficient deep learning, computer vision, transformers, AI sustainability, and developing technologies that contribute to the United Nations Sustainable Development Goals (SDGs).
Whether you're an AI researcher, machine learning engineer, computer vision practitioner, student, or technology enthusiast, this interview offers valuable insights into the future of efficient and sustainable artificial intelligence.
đ Recorded at CVC 2026, Amsterdam
đ If you enjoyed this interview, don't forget to Like, Share, and Subscribe for more conversations with leading researchers, innovators, and experts in Artificial Intelligence, Computer Vision, Deep Learning, Data Science, and Emerging Technologies.
#CVC2026 #ArtificialIntelligence #AI #DeepLearning #ComputerVision #VisionTransformers #Transformers #MachineLearning #SustainableAI #GreenAI #EfficientAI #ResearchInterview #PhDResearch #RadboudUniversity #DondersInstitute #Innovation #TechnologyConference #AIResearch #FutureOfAI #Amsterdam #KieranCarrigg
đĽ Interview with Kieran Carrigg | Efficient Deep Learning, Sustainable AI & Vision Transformers | CVC 2026 Amsterdam
In this exclusive interview recorded at CVC 2026 in Amsterdam, we speak with Kieran Carrigg, PhD Candidate at the Donders Institute for Brain, Cognition, and Behaviour and Radboud University, about his cutting-edge research in efficient deep learning, computer vision, and sustainable artificial intelligence.
Kieran shares his academic journey from studying Artificial Intelligence in the Netherlands to pursuing a PhD focused on making deep learning models faster, more energy-efficient, and environmentally sustainable. He discusses his latest research on accelerating Vision Transformers through decorrelation techniques, a promising approach that reduces training time while maintaining model performance.
The conversation explores the growing importance of Sustainable AI, efficient machine learning, transformer architectures, and real-world industrial applications. Kieran also reveals how an unexpected experiment led to a breakthrough discovery that is already being adopted in industry to improve AI training pipelines.
đš Topics Covered:
⢠Efficient Deep Learning
⢠Sustainable AI and Green AI
⢠Vision Transformers (ViTs)
⢠Computer Vision Research
⢠Transformer Architectures
⢠AI Model Optimization
⢠Energy-Efficient Machine Learning
⢠Deep Learning Training Acceleration
⢠Industrial AI Applications
⢠AI Research and Innovation
⢠PhD Research Journey
⢠Future of Computer Vision
đ¨âđŹ About the Speaker:
Kieran Carrigg is a PhD Candidate at the Donders Institute for Brain, Cognition, and Behaviour and Radboud University. He is affiliated with the Artificial Cognitive Systems Lab and the ICAI ASMPT Lab. His research focuses on efficient deep learning, computer vision, transformers, AI sustainability, and developing technologies that contribute to the United Nations Sustainable Development Goals (SDGs).
Whether you're an AI researcher, machine learning engineer, computer vision practitioner, student, or technology enthusiast, this interview offers valuable insights into the future of efficient and sustainable artificial intelligence.
đ Recorded at CVC 2026, Amsterdam
đ If you enjoyed this interview, don't forget to Like, Share, and Subscribe for more conversations with leading researchers, innovators, and experts in Artificial Intelligence, Computer Vision, Deep Learning, Data Science, and Emerging Technologies.
#CVC2026 #ArtificialIntelligence #AI #DeepLearning #ComputerVision #VisionTransformers #Transformers #MachineLearning #SustainableAI #GreenAI #EfficientAI #ResearchInterview #PhDResearch #RadboudUniversity #DondersInstitute #Innovation #TechnologyConference #AIResearch #FutureOfAI #Amsterdam #KieranCarrigg
