Artificial intelligence is colliding with energy at exactly the moment the world can least afford a power crunch. Data centers, electric vehicles and industrial electrification are driving demand ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...

Abstract: Energy-efficient clustering is a major challenge in IoT-enabled Wireless Sensor Networks (WSNs) because of limited battery power, node heterogeneity, and dynamic network topologies. This ...

Firstly, this study investigates the spatiotemporal distribution characteristics of the ozone (O3) pollution in Liaoyuan City using monitoring data from 2015 to 2024. Then, three machine learning ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. To achieve our goal, we introduce the chemical environment of ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Liam McCabe If you’re not adjusting the settings on your washing machine’s ...