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 ...
As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?
Abstract: This paper proposes a novel global modeling framework based on a Mixture of Experts (MoE) architecture to address the challenge that conventional compact global models face in capturing the ...
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 ...
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