Abstract: This research introduces a machine learning-based approach for assessing dynamic facial function in facial palsy patients through objective iris movement tracking. Integrated with a remote ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Digital romance has become the norm. According to the Pew Research Center, roughly 23% to 30% of U.S. adults currently use or ...

As a polyamorous software reviewer, I have unique insight into the world of dating apps. If you're ready to trash Tinder, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Straive CEO Ankor Rai on why GenAI pilots fail, and how content readiness, governance, and HITL models enable ...

Nutshell reports that AI tools are transforming sales, enhancing efficiency and productivity, but success hinges on data quality and implementation strategies.

As this complexity deepens, a simple truth emerges: classical measurement frameworks cannot keep pace with a system that is ...

Abstract: The choice of activation function—particularly non-linear ones—plays a vital role in enhancing the classification performance of deep neural networks. In recent years, a variety of ...

Indeed, research has shown that AI systems are routinely hobbled by biases within both training data and system design. AI models can also introduce new biases, either by missing subtle information ...

Background: Mantle Cell Lymphoma (MCL) is a subtype of B-cell lymphoma characterized by varied clinical manifestations. The immune status is associated with MCL’s development and outcome. This study ...

Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...