The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

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 ...

This study employs YOLOv8 (You Only Look Once) algorithms to enhance autonomous vehicle capabilities in real-world environments. Utilizing a custom dataset tailored for YOLOv8 training, the research ...

Chang, W., Chen, L. and Su, K. (2019) DeepCrash A Deep Learning-Based Internet of Vehicles System for Head-On and Single-Vehicle Accident Detection with Emergency Notification. IEEE Access, 7, ...

Unsupervised learning eliminates the need for human input in creation of the AI engine. It uses unlabeled data and derives the underlying semantics and patterns which are then used to make decisions.