Anders Hast

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

The Power of Outsiders: How Breakthroughs Come from Those Who Dare to Defy

Throughout history, the greatest scientific revolutions have not come from those cautiously adding bricks to the existing walls of knowledge—but from those who dared to smash through them. While mainstream research refines and polishes, true innovation often emerges from the fringes, from individuals or groups who refuse to conform to the rigid expectations of their … Continue reading The Power of Outsiders: How Breakthroughs Come from Those Who Dare to Defy

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

Paper Presentation

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!