A new connection between human and machine learning has been discovered: While conceptual regions in human cognition for long ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

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The ETH Zurich Campus Heilbronn is excited to announce the inaugural edition of the Interdisciplinary School on Machine Learning and Artificial Intelligence for Science. This in-person event will take ...

image: Schematic illustration of the application of the Bioengineered Neural Network (BENN) using 3D bioprinting and electrical stimulation. view more Credit: POSTECH A research team led by ...

In graphical-based chemistry machine learning (ML) models, a precise atomic correlation depiction, known as molecular topology, can significantly increase the model’s performance. However, owing to ...

Schematic representation of direct targeting of cancer, endothelial and perivascular cells by anti-VEGF agents.

Instead, I was pre-trained using a combination of unsupervised and supervised learning techniques, such as language modeling, auto-encoding, and sequence prediction.

Figure 1. A GNN model for learning nucleation CVs. This figure shows a schematic depiction of the method developed. In the first step, the molecular/atomic graph is constructed using a neighbor list ...