The ideal architecture, they suggest, should have different memory components that can be coordinated to use existing knowledge, memorize new facts, and learn abstractions from their context.

In a paper published in National Science Review, a Chinese team of scientists systematically summarize the key technical advancements in Neural Architecture Search (NAS), delving into the core ...

Liquid Neural Networks could help us to achieve the next level of efficiency with AI/ML Many of us can agree that over the past few years AI/ML progress has been, well, rapid. Now, we’re given ...

Neuromorphic computing, which mimics the human brain’s architecture and function, can be leveraged in edge computing to improve power efficiency, speed, and adaptability.

Researchers from Massachusetts Institute of Technology, California Institute of Technology, and Northeastern University created a new type of neural network: Kolmogorov–Arnold Networks (KAN).

Artificial neural networks process data in a manner similar to the human brain. Written by eWEEK content and product recommendations are editorially independent. We may make money when you click ...

Potential Positives. MicroCloud Hologram Inc. has developed a groundbreaking noise-resistant Deep Quantum Neural Network architecture that significantly enhances quantum computing capabilities and ...

Neural Network Use Cases Neural networks are now involved in more and more types of AI. This includes speech and image recognition, advanced search, and generative AI.