Abstract: Traditional exclusive cloud resource allocation for deep learning training (DLT) workloads is unsuitable for advanced GPU infrastructure, leading to resource under-utilization. Fortunately, ...
As the U.S. wellness landscape shifts toward somatic healing, trauma-informed care, and nervous system regulation, sound ...
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Official implementation of the paper $\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation. **Abstract**: *Current video-language models ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.
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