AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Artificial intelligence was built to process data, not to think like us. Yet a growing body of research is finding that the internal workings of advanced language and speech models are starting to ...

With the rapid growth of global data traffic, enhancing the intelligence and efficiency of optical fiber communication systems has become even more crucial. Current intelligent signal processing ...

Collaborative research demonstrates unprecedented degree of control over propagation of light waves to perform machine-learning computations Figure 1: (A) The fundamental unit of an artificial neural ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating neural computation principles with nanostructured optics to create a ...

This evolution underscores the shift from shallow networks to deep ones, with research from NeurIPS 2023 highlighting how additional layers mitigate vanishing gradients through techniques like ...