Abstract: Tumor segmentation and classification have important value in clinical diagnosis. Multi-task learning has been widely used for jointly tumor segmentation and classification in broad medical ...

OpenAI’s most advanced AI coding agent, Codex, will bring parallel task automation to developers—but analysts caution that speed without scrutiny invites “silent failures.” ...

For this purpose, we develop a novel end-to-end trainable real-time Multi-Task Learning (MTL) model with weight-shared encoder and task-aware detection and segmentation decoders. Optimization of ...

Objective Multi-cancer early detection (MCED ... MCED screening is intended to be performed in addition to the United States Preventive Services Task Force (USPSTF) guideline-recommended screening ...

The Role and Functionality of Sub-Agents Sub-agents are the building blocks of multi-agent systems, each designed to handle a specific task. Their modularity ensures that the system remains ...

Mastering a skill can take decades, but the learning process unfolds across ... of learning in a unified theoretical model that offers a task-agnostic view of skill acquisition.

Qwen3’s open-weight release under an accessible license marks an important milestone, lowering barriers for developers and organizations.