The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Innovations in assistive AI and, ultimately, increased autonomy with agentic AI will redefine what engineers can achieve ...

This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework. SELM has a fast training speed and does not require the ...

WASHINGTON, July 1, 2025 /PRNewswire/ -- FinRegLab today released new empirical research demonstrating that adopting machine learning techniques and incorporating cash flow data into credit ...

We are delighted to introduce FlowRL. It is a new approach for online reinforcement learning that integrates flow-based policy representation with Wasserstein-2-regularized optimization. This creates ...

Real-time vehicle data are collected using cameras deployed along highways, and key traffic parameters such as flow, density, and speed are precisely extracted using the YOLOv8 object detection model.