Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

The study demonstrates that AI can markedly enhance diagnostic accuracy in 2D mammographic screening, a method long regarded ...

To build the TerraMesh dataset that underpins TerraMind, IBM’s researchers compiled data on everything from biomes to land ...

Machine learning algorithms have played ... learning (a modified DenseNet) for classification. The system was implemented at Magori Polyclinic in Niamey, diagnosing breast cancer into normal and ...

The implementation of Machine Learning (ML ... Gaussian noise feature data augmentation. The Fine KNN algorithm provides the 93.4% and 92.3% classification accuracies of binary and multi-class ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

H2O.ai offers a comprehensive platform for automating key machine learning workflows, enabling users to rapidly build world-class ... classification, and collaborative filtering. Over time, it has ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...