The “P” in GPT stands for “pre-trained.” This refers to the fact that ChatGPT was originally trained on a huge amount of data before it was released to the public. Pre-trained AI models are generally ...

From tropical forests to coastal reserves, destinations built around natural heritage are facing mounting pressure to manage tourism more precisely. The pandemic disrupted visitor flows and revealed ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Deep brain stimulation (DBS) improves motor symptoms of Parkinson's disease by modulating a specific brain network that is mainly active in the fast beta frequency range (20 to 35 Hz). This conclusion ...

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

A team of geologists found for the first time evidence linking regions of low seismic velocity and the shape of the Earth’s magnetic field.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...