Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It involves training ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Research team proposed DeepSwarm, a collective deep learning framework integrating swarm intelligence for bidirectional optimization of data acquisition and processing. It improves accuracy and ...

A research team has developed a groundbreaking deep learning-based method for analyzing ... these structures often rely on manual observation under a microscope, which is time-consuming and ...

Genes are known to play a crucial role in shaping how the brain ages. In this study, researchers used deep learning models trained on MRI scans, lifestyle data, health records, and genetic ...

A novel universal deep learning model for segmentation of automated optical inspection images for both PCBA and semiconductor ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Of course, there is another perspective on this uncertain future and lack of planning, as exemplified by Gary Marcus, who believes deep learning generally (and LLMs specifically) will not lead to AGI.