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.
COVID-19 put a halt on elective procedures in order to conserve resources and reduce the spread of the virus. Now, medtech organizations must change how they engage, sell to, and support healthcare providers.
As more companies weigh reopening workplaces following shutdowns due to the COVID-19 pandemic, another question arises: how will workers get to their offices?