Supervisor Prof. Anders Hast, Centre for Image Analysis:anders.hast@it.uu.se The impact of Bias in Face Recognition Face recognition consists of four distinct stages. First a face is detected. Secondly, anchor points are found so that the face can be aligned and cropped, in order to have the exact same position for all faces. Next a feature vector … Continue reading Master thesis suggestions
Using AI Responsibly in Scientific Writing
When writing scientific works such as theses and research papers, all new ideas, thoughts, and reflections should be our own. But what about the words and expressions we use? Is it acceptable to rely on AI tools like ChatGPT to improve grammar, structure, or clarity? In practice, this is not much different from asking a … Continue reading Using AI Responsibly in Scientific Writing
Did DeepSeek Just Break the Monolithic Model Myth?
While many believe that monolithic models are the best approach, DeepSeek appears to adopt a multi-model architecture, delegating tasks to smaller, specialised models rather than relying on a single, monolithic system. Each model is purpose-built for specific functions, enhancing efficiency. This specialisation not only boosts performance but also reduces data and resource requirements, resulting in … Continue reading Did DeepSeek Just Break the Monolithic Model Myth?
Do We Need Engineers Anymore? Everyone’s a Data Analyst Now!
In today’s world of algorithms and artificial intelligence, the role of the engineer seems to have transformed—or perhaps diminished. Once rooted in ingenuity and craftsmanship, engineering now feels synonymous with data analysis and repurposing machine learning frameworks. Is this still “engineering” in the original sense?The word "engineer" comes from the Latin “ingenium”, meaning natural talent … Continue reading Do We Need Engineers Anymore? Everyone’s a Data Analyst Now!
Anders Hast 