The U.S. Deep Learning Chipset Market is estimated at USD 3.73 billion in 2025 and is projected to reach USD 53.62 billion by 2035, growing at a CAGR of 30.59% from 2026–2035. Rapid adoption of AI ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently verified manually after each race. Researchers at University of Tsukuba have ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently ...

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...

Center for Neurology, The Thirteenth People’s Hospital of Chongqing, Chongqing, China The rapid growth of computational neuroscience and brain–computer interface (BCI) technologies require efficient, ...

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1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China ...

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...