Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

» Global HR Governance Daily: Recruitment Shifts, Policy Changes, and Directory of Key Industry Events ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

Centre for Electronics Frontiers (CEF), Institute for Integrated Micro and Nano Systems, University of Edinburgh, Edinburgh, United Kingdom Figure 1. Concept schematic showcasing an example analogue ...

BOSTON (SHNS) – Lawmakers restarted their work Wednesday to bolster data privacy protections for Bay Staters, and some Democrats clashed with an attorney representing major tech companies over the ...

Accurate rate of penetration (ROP) prediction is important for optimizing drilling parameters, selecting drilling tools, improving drilling efficiency, and reducing operation cost. The study area is ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Abstract: Prompt tuning for pre-trained language models (PLMs) has been an effective approach for few-shot text classification. To make a prediction, a typical prompt tuning method employs a template ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...