Other methods and algorithms can be used ... In many optimization problems, there is a risk to local optimization. Deep learning systems are not yet appropriate for addressing those problems.

AI-driven models, particularly those based on machine learning (ML) and deep learning (DL), such as Long Short-Term Memory ...

DRL, which fuses the strengths of deep learning and reinforcement learning, is increasingly used to support the core ...

Discover how artificial intelligence is revolutionizing manufacturing processes, from automation and efficiency to supply ...

This technology significantly reduces the complexity of parameter updates during training through deep optimization ... circuit design and optimization algorithms. In terms of circuit design ...

Deep learning based semi-supervised learning algorithms have shown promising results in recent years. However, they are not yet practical in real semi-supervised learning scenarios, such as ...

For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where ...