A novel vision sensor inspired by the neural transmission mechanisms of the human brain has been developed to efficiently and accurately extract object outlines even under fluctuating lighting ...

Abstract Robotic vision has traditionally relied on high-performance yet resource-intensive computing solutions, which necessitate high-throughput ...

To address these challenges, we propose an innovative single-stage Local-Global Feature Extraction and Coordination Network (LGC-YOLO) to improve the detection accuracy of objects in HRRSIs. LGC-YOLO ...

we design a novel U-Shaped feature extraction network (U-SFEN) and introduce a tiny object detection head. Second, a large kernel feature selection module (LKFSM) is constructed to strengthen the ...

Radiomics, the extraction of quantitative features from medical images, combined with AI, showed high accuracy in predicting ...

1Department of Nuclear Engineering and Management, School of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan 2Department of Mechanical & Intelligent Systems Engineering ...

LandingAI - founded by Dr. Andrew Ng (co-founder of Coursera and Google Brain) in Silicon Valley, is collaborating with FPT ...

Picking the right solution for your needs is a critical part of using industrial automation, and this often means choosing ...

Harnessed the right way, regional innovation – driven by resourceful locals, skilled migrants and a knack for problem-solving ...

At Computex 2025 in Taipei, Asus outlined a broad portfolio of artificial-intelligence hardware, software and services aimed ...