Datallen Draw Global Retailers with Electronic Shelf Label and Digital Signage Solutions at Two Major China Exhibitions

Datallen and Sunlux IoT showcased electronic shelf labels, barcode scanners, and LCD digital signage at two major China ...

Howling Media Launches Nationwide White Label SEO Program

AI-Powered Agency Howling Media Opens White Label SEO Services to Digital Agencies Across the U.S. Boulder, United ...
IEEE

Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification

Abstract: Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning approach. This method transforms a text input into a ...

’70s albums that were way ahead of their time (and are still underrated)

The 1970s were a crucible for musical innovation, witnessing the birth and evolution of numerous genres, including ...

Anna’s Archive Ordered to Pay Spotify and Labels $322 Million Over Music Scraping

Anna's Archive faces a $322 million piracy judgment for scraping 86 million Spotify songs, but anonymous operators make ...

Rubber Duckers Shifts to Personality-Led Web Design, Putting Real Content at the Core of Modern Websites

Rubber Duckers launches personality-led web design approach using real photo and video content, replacing disconnected, template-style ...

Loftware Introduces Loftware Connect, Establishing a New Standard for Connected Supply Chains

A secure digital platform that transforms supplier collaboration to help customers achieve flexibility, growth, and faster time to market PORTSMOUTH, N.H., April 14, 2026 /PRNewswire/ -- Loftware ...
GitHub

Xenops v1.12 / ZPL Label Templates System / User's Guide

The template system allows to plug in into the system different ZPL labels, edit them, without any modification of software which does the printing. ZPL is Zebra Programming Language. Zebra ...
IEEE

Build a Good Human-Free Prompt Tuning: Jointly Pre-Trained Template and Verbalizer for Few-Shot Classification

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 ...