The best-performing model was additionally validated using a temporal external dataset including 309 LT cases from February 2020 to August 2022, and an independent external dataset extracted from the ...
The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...
The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
OpenAI's new small models are faster and cheaper than GPT-5.4—exactly what developers and businesses actually need.
OpenAI's new GPT-5.4 mini model offers performance improvements in reasoning, multimodal understanding and more.
OpenAI has introduced GPT-5.4 mini and GPT-5.4 nano, two small, cost-efficient versions of its flagship AI model. In a press release, OpenAI said that 5.4 nano and mini are “our most capable small ...
The latest GPT-5.4 mini model delivers benchmark results surprisingly close to the full GPT-5.4 model while running much faster, signaling a shift toward smaller AI models powering real-world ...
Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with small samples.
Abstract: Seismic data denoising is a crucial and challenging task for high-quality seismic exploration. Recent advancements in deep learning methods have demonstrated promising results in seismic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results