Machine vision is critical for automation and Artificial Intelligence (AI). But how are new components and modules making ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

They used machine learning methods that probed down to the molecular level while also retaining quantum-mechanical accuracy of the various interactions. "As the number of material layers increases ...

tech giant reveals Amazon has today announced it is to deploy hundreds of devices across its European fulfilment centres that use machine learning and automation to create "made to fit" cardboard ...

A study at Rensselaer Polytechnic Institute presented at ISC2 Security Congress compared ChatGPT-written training prompted by security experts and prompt engineers. Despite a huge talent shortage ...

In iris recognition, a major challenge lies in accurately segmenting the iris and pupil areas in the image, followed by matching the image features to a provided input. This paper introduces a machine ...

One such effort is use of deep learning neural networks for object recognition. The input to this system is knowledge extracted from the contours of various objects pre valent in a digital image. This ...

What is the best way to drive innovative work inside organizations? Important clues hide in the stories of world-renowned creators. It turns out that ordinary scientists, marketers, programmers ...