Brains and Evolution Team Up: Review Maps Neuroscience-Inspired AI Frontier
A new review examines how neuroscience-inspired deep learning and genetic algorithms can be combined into hybrid, biologically plausible AI systems.
A new review examines how neuroscience-inspired deep learning and genetic algorithms can be combined into hybrid, biologically plausible AI systems.
A study of 2,000 CBCT scans found that an XGBoost model using tooth-specific pulp-dentin index values from all four first ...
Researchers propose a scheme that embeds semantically compressed information into quantum states, with simulations suggesting it can exceed conventional quantum ...
A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without requiring annotated segmentation masks.
A physics-aware deep learning framework reconstructs a gapless, hourly tropospheric NO2 record over four Asian pollution hotspots from 2019 to ...
A retrospective external validation study reports that a multitask deep learning model can estimate McGoon ratios from chest radiographs in ...
A multicenter Chinese study reports that an AI model combining retinal vascular geometric parameters from fundus images with clinical data ...
A new review maps how numerical simulations and artificial intelligence are reshaping the study of turbidity currents, the powerful underwater ...
A prospective Indian study reports a deep-learning ensemble that classifies thyroid FNAC images into 2023 Bethesda categories with 96 percent ...
A new 3D Mamba-based model segments brain tumors with consistent accuracy gains and a 15x efficiency improvement over existing state-of-the-art ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine