A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the ...

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Model architecture and algorithm of TIP: (a) Model overview with its image encoder, tabular encoder, and multimodal interaction module, which are pre-trained using 3 SSL losses: $\mathcal{L}_{itc}$, $ ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Abstract: The concepts of fog and edge computing are currently applied in the construction of distributed cyber-physical systems in order to reduce the load on the network infrastructure, as well as ...

Abstract: In recent years, brain-computer interfaces (BCIs) leveraging electroencephalography (EEG) signals for the control of external devices have garnered increasing attention. The information ...