Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...
A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
2dOpinion
The greatest risk of AI in higher education isn't cheating—it's the erosion of learning itself
Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students ...
BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
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