Despite advancements, AI has yet to achieve continuous, lifelong learning and the ability to generalize from experience.

Memory requirements are the most obvious advantage of reducing the complexity of a model's internal weights. The BitNet b1.58 ...

While deepfake generation advances in complexity, it also becomes more computationally demanding. In contrast, detection is learning to do more with less.

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Traditional machine learning methods have often struggled to process such data in an effective manner. Graph Neural Networks represent a crucial advance in the use of deep learning to interpret and ...