Abstract: The operational efficiency of a permanent magnet synchronous motor (PMSM) is intrinsically linked to its stability, making the accurate diagnosis of common faults such as interturn short ...
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...
Abstract: Cell-free massive multiple-input multiple-output (CF-mMIMO) surmounts conventional cellular network limitations in terms of coverage, capacity, and interference management. This paper aims ...
Geoffrey Hinton earned the title “Godfather of AI” for inventing the foundations of modern deep learning — here’s why his ...
In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...
The global artificial intelligence (AI) in drug discovery market is experiencing rapid expansion, driven by the need to reduce the high costs and long timelines of traditional pharmaceutical ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
If you love diving underwater or want to experience it through a game, then try Deep. Deep allows players to scuba dive underwater and hunt for precious treasures. You can equip a lot of advanced gear ...
A week ago, Elon Musk announced that Tesla had started Robotaxi rides in Austin “with no safety monitor in the car.” The stock jumped 4%. Headlines celebrated the milestone. But since then, not a ...
"Awesome DL-Based MRI Reconstruction" is a comprehensive, curated repository featuring resources, tools, and research papers focused on leveraging deep learning and compressed sensing to accelerate ...
The performance gap between unsupervised segmentation models and SAM can be significantly reduced. UnSAM not only advances the state-of-the-art in unsupervised segmentation by 10% but also achieves ...
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