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.” ...

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 ...

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 ...

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.

The study, authored by three former SFI Postdoctoral Fellows — lead author Mingzhen Lu (NYU), Tyler Marghetis (UC Merced), and Vicky Chuquiao Yang (MIT) — captures the different timescales of learning ...

This paper presents a comprehensive water quality assessment and pollution source tracking model based on multi-task learning (MTL). On the basis of the existing water quality prediction and pollution ...