The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...
In five years since AlphaFold's debut, it has transformed basic biochemical research. But its long-term effect on drug ...
Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
AI and human-movement research intersect in a study that enables precise estimation of hand muscle activity from standard ...
Tsinghua University has unveiled a comprehensive framework for artificial intelligence use in education, emphasizing the ...
The tool represents a practical AI solution for crop improvement, giving plant scientists a powerful new way to accelerate ...
The rapid expansion of digital infrastructure has heightened data security risks across sectors. Traditional assessment methods, often reliant on fragmented ...
Abstract: The performance of Machine Learning (ML) models is highly sensitive to data quality, still the impact of label accuracy remains underexplored. In this study, a novel architecture, the Dual ...
Learn faster with a five-step framework and AI tools that cut study from 30 to 10 hours. Set goals, prime, deepen ...
A Physics-Inspired Deep Learning Framework With Polar Coordinate Attention for Ptychographic Imaging
Abstract: Ptychographic imaging confronts inherent challenges in applying deep learning for phase retrieval from diffraction patterns. Conventional neural architectures, both convolutional neural ...
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