Artificial intelligencefromHackernoon1 year agoA Comparative Study of Attention-Based MIL Architectures in Cancer Detection | HackerNoonMIL models with attention pooling mechanisms are chosen for interpretability and efficiency.
Data sciencefromHackernoon2 months ago6 Breakthrough Few-Shot Learning Techniques for Remote Sensing | HackerNoonFew-shot learning techniques in remote sensing facilitate effective image classification with limited data, enhancing decision-making processes.Explainable AI enhances transparency and trust in remote sensing classification outcomes.
fromHackernoon2 months agoFew-Shot Learning in Remote Sensing: Trends, Gaps, and Future Directions | HackerNoonConvolution-based few-shot learning models are still popular for classification tasks in all three domains, adapting quickly to new classes with few examples.Artificial intelligence
Artificial intelligencefromArs Technica4 months agoQuantum hardware may be a good match for AIQuantum systems outperform classical ones in supervised machine learning, even when using classical hardware for data.