Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

Custom healthcare software holds real promise as part of a broader effort to address persistent healthcare gaps among men.

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Abstract: This paper proposes a course intelligent recommendation system based on machine learning algorithm to achieve more accurate personalized recommendation. The system uses deep learning model ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...