Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Abstract: Higher education institutions face a persistent disconnect between identifying at-risk students and providing timely, personalized academic guidance. This paper introduces a unified deep ...

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 ...

There once was a time where going viral on the internet actually meant something. Long ago, in the early 2010s, 500,000 views could actually land you on daytime TV, where you could experience the ...

From the moment a smartphone’s alarm nudges you awake, artificial intelligence (AI) is already in motion. Think about facial recognition unlocking your device or the predictive weather notification ...

ABSTRACT: Continuous professional development (CPD) is vital for special education teachers, although their perspectives on CPD diplomas in Saudi Arabia remain understudied. This study examined how in ...

Abstract: The project’s main goal is to employ machine learning to create an automated method for skill extraction and feedback recommendation. The proposed system extract pertinent talents from ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

The increasing complexity of career decision-making, shaped by rapid technological advancements and evolving job markets, highlights the need for more responsive and data-informed post-diploma ...