Medical researchers since March have been pivoting projects to focus on COVID-19, driving the critical need for machine learning and imaging analysis tools to support big data initiatives, according to a Nov. 13 Wall Street Journal report. At the Center for Clinical Data Science, which is part of Boston-based Massachusetts General Hospital and Brigham and Women's Hospital, multidisciplinary teams with artificial intelligence skills have been vital for organizing and sifting through COVID-19 data sets. "Many of us dropped all other research and tried to focus entirely on doing COVID modeling," Jayashree Kalpathy-Cramer, PhD, scientific director of the Center for Clinical Data Science, told the publication. The work required large amounts of data storage, easy access to data and enough computer power to build complex AI models. Over the past several months, researchers from various MGH task forces have collaborated on AI algorithms in numerous ways, including using the models to predict which COVID-19 patients will require more advanced treatments and to identify how many intensive care unit beds could be needed at a particular time.

The Wall Street Journal reports that drones may be approved for use in the United States by summer. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. The Wall Street Journal reports that drones may be approved for use in the United States by summer.

The Unilever brand is associated with things like soap and deodorant. But technology does play a central role in its business operations, and the UK-based company sought to tap into its power to improve hiring. With the goal of diversifying its pool of entry-level candidates, Unilever experimented with replacing its standard approach to recruiting with algorithms and targeted mobile ads. As described in a recent Wall Street Journal article, Unilever's recruiting in the past had centered primarily around eight college campuses and the usual resume collection. But the company wanted to try a different approach that would reach more people and filter through applications without overwhelming the human resources in place. The solution was setting up a hiring process based on algorithms.