Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Modern medicine is largely reactive—treating illness only after symptoms emerge. But a new study from the Research Institute ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

Particle physics may have been an early adopter, but AI has now spread throughout physics. This shouldn’t be too surprising. Physics is data-heavy and computationally intensive, so it benefits from ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.