AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling

Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...
Devdiscourse

AI unlocks hidden signals in drug reviews to flag safety concerns faster

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
Medscape

Updated AACE Algorithms Guide Type 2 Diabetes Management

The latest type 2 diabetes (T2D) management guidance from the American Association of Clinical Endocrinology (AACE) covers ...
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 ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
IEEE

Multi-Label Text Classification Using Prompting Techniques via LLMs in Software Effort Estimation

Abstract: Text classification (TC) has gained substantial importance across diverse domains due to the increasing proliferation of internet-based and digital technologies. Organizations worldwide ...