Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
Research from Florida International University’s College of Business (FIU Business) found that a machine learning (ML) algorithm that uses hospital data and social determinants of health data can help ...
As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...
We have been writing about software as a medical device (SaMD) for years, tracking the Food and Drug Administration's (FDA) efforts to keep up with the fast-paced development of digital technology, ...
As an HR or talent acquisition leader, you are leading a crucial transformation. Nearly every American corporation is now harnessing technology to enhance their hiring processes, and this shift has ...
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
Bartosz Krawczyk is an Assistant Professor at the Chester F. Carlson Center for Imaging Science, where he heads the Machine Learning and Computer Vision (MLVision) Lab. His current research interests ...
Anurag Agrawal is a Senior Tech Lead at Google LLC. With over 12 years of experience, he's an expert in Cybersecurity and Abuse prevention. As someone who's been following the intersection of ...
Chatbots Kill: In 2017, the Pentagon established Project Maven to apply machine learning (ML) technology to identify targets in real-time combat situations. The program has now seemingly been turned ...
Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...
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