Torc is now sponsoring and collaborating in Stanford University's research to improve machine learning safety. The ...

Selecting a computer vision development partner involves technical strengths, project support, and compliance with strict security and privacy standards. Evaluating their process, infrastructure, and ...

The evolution of neural networks is a fascinating story filled with innovation, groundbreaking breakthroughs, near-fatal ...

The most innovative and disruptive enabler in Industry 5.0 is the emerging scope of state-of-the-art technology – Artificial Intelligence (AI)- that has begun to reshape the business world, more so in ...

Abstract: This study employs YOLOv8 (You Only Look Once) algorithms to enhance autonomous vehicle capabilities ... efficient real-time detection and classification of diverse road users. The algorithm ...

ABSTRACT: With the exponential growth of the global population, particularly in underdeveloped regions, traffic congestion has become a pressing issue, exacerbated by limited resources and ...

Traditional approaches to autonomous vehicles ... vs Unsupervised Learning Supervised learning entails using labelled training data sets as inputs and outputs to a DNN (Deep Neural Network ...

This study demonstrates the vital role of sensor fusion in autonomous vehicles by integrating various sensors. This study focuses on sensor fusion for object-road detection and path planning using the ...