Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...

A panel of the Indian government has proposed requiring AI companies to pay content creators a share of revenue for using their work to train AI models, a potential setback for companies like OpenAI ...

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

ABSTRACT: Purpose: The purpose of this study is to examine the effect of factor inputs, namely gross fixed capital formation, human capital investment, and population growth, on industrial sector ...

NEW DELHI, Oct 8 (Reuters) - Hollywood and Bollywood groups are lobbying an Indian panel for stricter copyright protection that will prevent artificial intelligence firms from using their intellectual ...

Is your feature request related to a problem? Please describe. (Based on this discussion I started in the discourse, trying to summarize the ideas discussed there.) I'm a fairly advanced user of Panel ...

Microsoft-owned social networking site LinkedIn will soon start using the data of its users to train its AI models, reports Windows Latest. The platform has sent out emails to users about the change, ...

As the industry embraces Nielsen’s big data + panel, the NFL is on board with the new measurement tool. Still, chief data and analytics officer Paul Ballew says there’s “more work” to be done in terms ...

New York – September 2, 2025 – With the start of the broadcast and football seasons this month, Nielsen today shared several updates for reporters covering TV, as the industry is adopting Nielsen’s ...

NEW YORK — With the start of the broadcast and football seasons this month, Nielsen is excitedly ready to provide the industry data based on enhanced Big Data + Panel methodology. For Nielsen, it is ...

Burnout and exhaustion has been extensively studied in organizational, work, and health psychology. Studies using the cross-lagged panel models have tended to conclude, explicitly or implicitly (e.g., ...