A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

Kumo AI says its new model can make business predictions more accurately than LLMs and more accurately than many small models ...

machine learning; mRNA, gene expression; PSE, pseudogene expression; SNV, single-nucleotide variation; TCGA, the cancer genome atlas. a When TCGA had not all the original clinical/genomic data, the ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs ...

Our objective was to train, validate, and test models of EC recurrence using lasso regression and other machine learning (ML) and deep learning ... and SNV were overrepresented in the best models.

A playbook for leaders to master AI analytics, overcome scaling hurdles, control costs, empower teams, prove ROI and achieve competitive advantage.

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Manufacturers like Sony, TCL, and Hisense have confirmed they'll release updated models incorporating ... crowd-sourced data collection and machine learning predictions, real-time traffic ...