Data labeling is essential to the development process of machine learning models. It ensures data accuracy by providing ...

Machine learning algorithms are the riding force at the back of the cutting-edge artificial intelligence (AI) revolution.

Liftoff launches its new machine-learning platform Cortex, which improves mobile ad campaigns using tailored neural network ...

Partial/complementary label learning is an emerging framework in weakly supervised machine learning with broad application prospects. It handles the case in which each training example corresponds to ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Machine learning and artificial intelligence are fundamentally dependent on databases. These databases serve the vital role of storing, organizing, and pulling up necessary data to develop and ...

Following the requirement for cell-based assay and phenotypic screening, the drug development market is seeing an increase in ...

Researchers and students @UHouston are developing new software, based on artificial intelligence, for advancing cell-based ...