Particle physics may have been an early adopter, but AI has now spread throughout physics. This shouldn’t be too surprising. Physics is data-heavy and computationally intensive, so it benefits from ...

Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks (NNs) ...

During an interview on CNN on Wednesday, PBS CEO Paula Kerger argued that she doesn’t see evidence behind the accusations that her outlet is partial to liberal viewpoints.

Violent incidents targeting ICE and Border Patrol received limited network coverage, with CBS and PBS offering brief reports on immigration enforcement ...

This week, Republicans held a Senate hearing on Biden's incapacity that was boycotted by most Democrats and ignored by broadcast networks, highlighting partisan media coverage patterns.

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

Uncover how broadcast networks favor Trump tell-alls over Biden's, revealing a pattern of bias in political book media coverage.

Juniper Networks and ServiceNow Extend Partnership with Combined Solution to Accelerate Time-to-Value for Deutsche Telekom Managed Services with End-to-End Automation ...

Energy and memory: A new neural network paradigm A dynamic energy landscape is at the heart of theorists' new model of memory retrieval Date: May 14, 2025 Source: University of California - Santa ...