Using multiparametric breast MRI data from three hospitals, the research team developed the MOME model to enable non-invasive malignancy classification, molecular subtyping, and neoadjuvant ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

In this study, the risky driving behavior data generated by Connected Vehicle (CV) techniques was introduced along with traffic flow data to develop the crash risk evaluation model.

Hedge funds are fleeing the stocks of companies that provide discretionary items and services consumers want but do not need, in a sign they anticipate an economic downturn, a Goldman Sachs prime ...

New generative AI (genAI) models introduced this week by Google and OpenAI have put the companies’ data centers under stress — and both companies are trying to catch up to demand.

Abstract The accurate and early detection of coronary heart disease (CHD) is crucial for reducing mortality rates. This study evaluates the predictive performance of three machine learning ...

But data from the large-scale, shear-deformation experiments in Iverson’s lab raised questions about the assigned value for n. Temperate ice is linear-viscous (n = 1.0) “over common ranges of liquid ...

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

Nexa Ware, the joint venture established earlier this year by Tsubakimoto Chain and KDDI, announced the launch of its latest innovation, the 'Nexa Warehouse-Optimizer'. This cutting-edge data analysis ...