When biomedical researchers need to test their latest ideas, they often turn to engineered human tissue that mimics the ...
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Interrupting encoder training in diffusion models enables more efficient generative AI
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
All our projects implement compliance with environmental emission control requirements and network cybersecurity standards ...
Abstract: Existing liner power flow (LPF) models do not consider the non-smooth constraint characteristics of the voltage source converter (VSC) and on-load tap changer (OLTC) that contain operation ...
ETHZilla Corporation, the Nasdaq-listed decentralized finance technology firm, has raised a further $350 million through ...
Abstract: With the development of deep learning (DL) in recent years, numerous remote sensing image change detection (CD) networks have emerged. However, existing DL-based CD networks still face two ...
Discover how smart technology and real-time data are transforming rail traffic and route optimization for faster, more efficient freight movement. In today’s fast-paced supply chain environment, rail ...
A study recently found that deep-breathing exercises induce similar patterns of blood flow to the brain seen in patients using psychedelic substances like psilocybin. This altered state of ...
This is the offical implementation of FlowMol, a flow matching model for unconditional 3D de novo molecule generation. The current version is FlowMol3. Citing FlowMol3 (and what's going on the the ...
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