Multi-agent reinforcement learning (MARL) algorithms play an essential role in solving complex decision-making tasks by learning from the interaction data between computerized agents and (simulated) ...
Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...
Generative AI is useful. But explaining the "mechanism behind how text is created" is difficult.If you only need to call an ...
A single Transformer-based decoder trained on the OpenBMI dataset classified eight EEG classes spanning motor imagery, P300, ...
PALO ALTO, Calif., Sept. 30, 2025 /PRNewswire/ -- LandingAI, a pioneer in agentic vision AI technologies, today announced its significant upgraded version of Agentic Document Extraction (ADE) which ...
In a paper published in Machine Intelligence Research, a team of researchers summarizes a large number of related publications and the existing benchmarking in the medical domain. Notably, the survey ...
Generative adversarial networks, or GANs, hold considerable promise for generating media, such as realistic images and voices, video and 3D shapes, as well as drug molecules. They can also be used to ...
Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer Precision oncology in non–small ...
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