This work marks the first practical use of boson sampling, long seen as a key demonstration of quantum computing’s potential to outperform classical methods. The researchers used computer simulations ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

Presenting glmSMA, a novel linear regression model designed to integrate single-cell RNA sequencing (scRNA-seq) reference data with spatial transcriptomics (ST) data across various experimental ...

To explore this gene expression pattern, ... (AUC = 0.7437), and 3-year (AUC = 0.725) time points using TCGA-BLCA data set. The AUC values indicate the model's accuracy in predicting survival at each ...

Explore the implications of non-linear patterns in scatter plots within the realm of Business Intelligence and their impact on data analysis. Skip to main content LinkedIn Articles ...

Synthetaic, a startup developing tools to create synthetic data for training AI models, has raised $15 million in a venture funding round. Remember the Chinese “spy” balloon from 2023?

Teaching fewer words to large language models might help them sound more human. By Oliver Whang When it comes to artificial intelligence chatbots, bigger is typically better. Large language models ...

Thaker NG, Rewari A, Hubbard A. Future of alternative payment models and big data analytics in the post–COVID-19 era: implications for radiation oncology. Int J Radiat Oncol Biol Phys . 2020;108 ...

Streamflow modeling is considered as an essential component for water resources planning and management. There are numerous challenges related to streamflow prediction that are facing water resources ...