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Mastering AI summarization for smarter research life

AI summarization is reshaping how students, researchers, and professionals digest information, turning hours of reading into minutes of insight. From extractive 'digital highlighters' to abstractive, ...
IEEE

Enhancing Text Classification Through Quantum Transfer Learning: A Hybrid Quantum-Classical Approach With Complex Kernel Self-Attention Networks

Abstract: Quantum computing, with its unique principles such as superposition and entanglement, promises to transform various domains, including artificial intelligence. This study investigates the ...
Reuters

Deep Purple thrills Japan's superfan prime minister with a quick visit

TOKYO, April 10 (Reuters) - Legendary British rock band Deep Purple made Japanese Prime Minister Sanae Takaichi's day with a brief visit to their high-profile superfan on Friday as they returned to ...
TechCrunch

Poke makes using AI agents as easy as sending a text

Is Poke an OpenClaw for the rest of us? That’s the idea coming from a new startup offering an AI agent that you can access via iMessage, SMS, Telegram, and, in some markets, WhatsApp. The AI agent ...
ascopubs.org

Toward Automating the Summarization of Cancer Pathology Reports Using Large Language Models to Improve Clinical Usability

Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation Patients who underwent initial consultation in a thoracic clinic between January 2019 and July 2023 ...
Mashable

Traffic violation text scams are evolving with QR codes

If you got a sketchy text last year about an unpaid toll or parking ticket, you weren't alone. Those DMV and E-ZPass phishing scams swept across the country in 2025, targeting drivers in states like ...
IEEE

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...