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 ...

“The ability of the large language models, and other AI systems to make meaningful contributions to academic work may justify future co-authorship on academic perspective, review and research papers.” ...

Generative Pre-trained Transformers (GPTs) have transformed natural language processing (NLP), allowing machines to generate text that closely resembles human writing. These advanced models use deep ...

The rapid expansion of scientific literature has made it increasingly challenging for clinicians and researchers to efficiently identify relevant evidence. While large language models (LLMs) offer ...

A pretty exciting breakthrough has surfaced for Apple Silicon. A developer has figured out how to bypass restrictions on the ...

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...