A neural network is better viewed as a collection of multiple optimisation processes, each with its own internal memory.

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Abstract: Active learning seeks to achieve strong performance with fewer training samples. It does this by iteratively asking an oracle to label newly selected samples in a human-in-the-loop manner.

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

AI or Artificial Intelligence refers to a technology designed to perform tasks that typically require human intelligence.

a smart tutoring web app with adaptive difficulty scaling, reinforcement learning for content personalization, and automated grammar correction enhancing learner engagement and accuracy.

Abstract: Deep learning has brought substantial advancements to computer vision in recent years by providing answers to challenging visual interpretation problems. It investigates several DL ...