Welltower (NYSE: WELL) has over the last decade built what it considers an industry-leading data science platform for senior housing. Now, the company is ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

In response to this structural shift, Interview Kickstart has published a new article as part of its Career Transitions ...

Enterprise software is undergoing a major transformation as machine learning becomes deeply embedded into core digital products. Organizations are no longer using ML only for experimental analytics; ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Abstract: As machine learning models scale in size and complexity, their computational requirements become a significant barrier. Mixture-of-Experts (MoE) models alleviate this issue by selectively ...

Predictive AI routinely fails to deploy, so data scientists are spearheading a movement to focus on its business value. But stakeholders need a better understanding. Most predictive AI projects fail ...

Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels Partial nephrectomy has been advocated as the preferred surgical approach ...

Supermicro’s new Data Center Building Block Solutions (DCBBS) unify servers, liquid cooling, power, networking, and automation into modular, factory-tested bundles that speed AI data center buildouts.