Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

Background Data-sharing mandates from funders and journals have increased in recent years, but little is known about how shared data are used. Existing research has focused on access frameworks, with ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

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

Sometimes a visually compelling metaphor is all you need to get an otherwise complicated idea across. In the summer of 2001, a Tulane physics professor named John P.

Kinematic modeling is central to understanding and interpreting motion across both biological and artificial systems. Traditionally underpinned by ...

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Building a Cross-Border and Interdisciplinary Innovation Network Covering 26 Institutions Worldwide The 3rd Global Sportswear Design Award has achieved a significant transformation in its ...

Artificial intelligence developers are accusing Chinese firms of stealing their intellectual property following a spate of ‘distillation attacks’, despite their own alleged theft of training data.