Abstract: Effective machine learning for natural hazard prediction and monitoring depends on timely access to high-quality, event-specific datasets and models capable of adapting to evolving ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

Discover rapid miner for advanced data analytics and machine learning. This powerful rapidminer software streamlines predictive modeling. The core strength of this rapidminer software lies in its ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

Multimedia fake news detection faces challenges due to the complexity of misinformation, requiring large datasets, fine-tuning, and explainability. This paper proposes an explainable multimodal ...

The Somic 434 SuperFlex features 57 decentralized servo drives, simplifying layout and troubleshooting. An innovative linear shuttle system replaces traditional collection chains. A modular design ...

This important study describes the development and validation of an Automated Reproducible Mechano-stimulator (ARM), a tool for standardizing and automating tactile behavior experiments. The data ...