Anders Hast

February 28, 2025 Anders Artificial Intelligence and Machine Learning, City Faces, EB-CRIME, Embedded Prototype Subspace Classification, Gender and Work, Handwritten Text Recognition, Labours Memory, Research Visit

Research Visit

On February 25:th I visited the research group led by Andrea Marchetti at IIT, CNR in Pisa and presented ongoing research in Handwritten Text Recognition, Age Estimation and Face Recognition.

February 28, 2025 Anders Artificial Intelligence and Machine Learning, Conference, Embedded Prototype Subspace Classification, Labours Memory

I presented the paper "Exploring Handwritten Document Collections: An EPSC-Based Approach for Feature Extraction and Similarity Analysis" at 21st Conference on Information and Research Science Connecting to Digital and Library Science - IRCDL 2025, February 20--21, 2025, Udine, Italy

January 28, 2025March 2, 2025 Anders Artificial Intelligence and Machine Learning, Science and Research

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?

January 25, 2025March 2, 2025 Anders Artificial Intelligence and Machine Learning, Science and Research

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!

January 20, 2025March 2, 2025 Anders Artificial Intelligence and Machine Learning, Science and Research

Why is learning an algorithm sometimes better than learning from a large set of examples, as AI often does?

Consider tasks like counting, sorting, and arithmetic. We humans learn algorithms for these processes so that we can apply them in all kinds of situations. For instance, while memorising the multiplication table works well for small numbers (0–9), learning the multiplication algorithm is far more efficient when dealing with larger numbers. This approach allows us … Continue reading Why is learning an algorithm sometimes better than learning from a large set of examples, as AI often does?