A portable ultrasound device can bring imaging closer to patients, but obtaining a useful image still takes skill. At Bern University of Applied Sciences (BFH), we explore how artificial intelligence (AI) could guide non-specialists during scanning, and what must be established before that promise can translate into better access to care. A device is only […]
Agentic AI extends language models with tools, memory, and the ability to act. Instead of relying on one giant model, many smaller agents can specialize, cooperate, and reuse skills. This makes AI systems more modular and practical, while also raising new questions about transparency, coordination, and responsibility. Large language models (LLMs) such as ChatGPT and […]
As the number of AI models grows, it becomes clear that many new applications share similarities with existing ones. Transfer learning and domain adaptation harness this overlap by repurposing previously trained models. This approach accelerates training, reduces data requirements, and improves model performance, making it a valuable tool. The traditional approach to deep learning involves […]
Contributions as RSS
Comments as RSS