To improve search and recommendation user experiences, Uber migrated from Apache Lucene to Amazon OpenSearch to support large-scale vector search and better capture search intent. This transition ...

If that’s left you feeling a little confused, fear not. As we near the end of 2025, our writers have taken a look back over the AI terms that dominated the year, for better or worse. Make sure you ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

AI maps fleeting DNA quadruplexes, revealing paired structures that control genes in healthy cells and cancer.

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Wu, H. and Madisetti, V. (2025) SAGENT: An Intelligent System for the Management of Complex Workflows . Journal of Software Engineering and Applications, 18, 542-563. doi: 10.4236/jsea.2025.1812031 .

Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...

In 2023, OpenAI trained GPT-4 on Microsoft Azure AI supercomputers using tens of thousands of tightly interconnected NVIDIA GPUs optimized for massive-scale distributed training. This scale ...

Abstract: The increasing capabilities of Machine Learning (ML) models go hand in hand with an immense amount of data and computational power required for training. Therefore, training is usually ...

The U.S. National Institute of Standards and Technology has released a preliminary draft of its Cybersecurity Framework ...

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...