From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Whether it's traditional machine learning (ML) or its trendier generative cousin, artificial intelligence (AI) is appearing in a range of streaming ad tech use cases for increasing under-the-hood ...

Safe Pro Group Inc. (Nasdaq: SPAI) ("Safe Pro" or the "Company"), a developer of Artificial Intelligence (AI)-enabled defense and security solutions, today announced the filing of its latest patent ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

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

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...

ABSTRACT: Rapid urbanization and industrial growth reshaped the landscape, making the environment and human life increasingly vulnerable. This study undergoes future land use prediction, which is ...

Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid ...