Users can sign up, explore, and shape the platform’s future Digg is solving three key issues that exist in today's ...

Key market opportunities in the Power Distribution Automation Market include the modernization of aging infrastructure and integration of renewable energy sources, enabling enhanced grid stability and ...

According to MarketsandMarkets™, the Learning Management System Market is projected to grow from USD 30.92 billion in 2025 to ...

Objectives To identify behavioural and household factors associated with poor oral hygiene among Japanese kindergarten children in a population with high health awareness, using the Debris ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Edgi-Talk is a machine learning platform/development kit powered by an Infineon PSOC Edge E84 Arm Cortex-M55/M33 SoC featuring Arm Helium, an Arm Ethos-U55 micro NPU, and an ultra-low-power NNLite ...

James Ratcliff joined Game Rant in 2022 as a Gaming News Writer. In 2023, James was offered a chance to become an occasional feature writer for different games and then a Senior Author in 2025. He is ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: Accurate estimation of the State of Charge (SOC) is essential for the efficient and safe operation of lithium-ion battery systems, particularly in electric vehicles and renewable energy ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Conclusions: This study demonstrated the potential of machine learning–based exploratory models, using data collected from mobile ecological momentary assessment and wearable actigraphy, to detect ...