With COVID-19 treatment taking priority, elective procedures and services were delayed. Now healthcare providers must reengage and prioritize patients to reschedule the backlog.
Dame Louise Casey and Beth Sandor and their organizations are developing innovative solutions to use data to understand the root causes of homelessness and the people behind the crisis. Here's what they have to say.
In order to keep the supply chain stable during crises and beyond, it’s critical to evaluate how we engage logistics workers from hire to retire. Here are three ways to do that.
Morpheus exposes the potential allocative harms of popular pretrained NLP models by simulating inflectional variation. We propose adversarial fine-tuning for mitigating the effects of training only on error-free Standard English data.