A unified benchmarking framework comparing seven metaheuristics across six engineering plants and classical baselines finds ...

When you hear that 'fine-tuning a ResNet pre-trained on ImageNet improved accuracy by 20%,' have you ever determined whether ...

A new hybrid deep learning model tuned by a snake-inspired optimization algorithm achieves 98.13 percent accuracy in ...

After testing 100 hyperparameter candidates, the best accuracy was 92.5%. But is that value really "optimal"? In reality, it ...

Optimized AI models could help estimate concrete compressive strength in wastewater environments and support future ...

This in-depth case study explores the remarkable comeback story of a former intern who was blacklisted by a top global ...

Unlocking healthcare data requires more than algorithms—it demands validation, context, and clinical collaboration.

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

The method, called SeedFocusNet, achieved 74.39% precision in identifying high-vigor seeds. Greenhouse tests showed that the emergence rate of seeds selected by the model was 18–22 percentage points ...

There are effective approaches for 2D segmentation, yet 3D cell segmentation remains a critical bottleneck due to diverse cell morphologies, low signal-to-noise ratios, and data scarcity. We introduce ...