Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

A practical guide to building AI prompt guardrails, with DLP, data labeling, online tokenization, and governance for secure ...

Lewis Wallis and Dr Samuel Dicken review 2025 developments in ultra-processed foods (UPF) and high fat, sugar and salt (HFSS) ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

Abstract: Refactoring is the process of restructuring existing source code to improve its internal structure without altering its external behavior. Refactoring is essential to maintaining software ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

Abstract: Fluid antenna systems offer significant potential to enhance spatial diversity, which can substantially improve the quality of received signals. However, achieving such signal quality ...