An enhanced RT-DETR-ResNet18 framework raises detection accuracy for camouflaged soybean pests, reaching 77.4% mAP@0.5 across ...
ETH Zurich researchers show a single humanoid robot policy beat specialized controllers on all eight mixed-terrain courses, ...
A new VR and reinforcement learning framework predicts student knowledge mastery with up to 96.8 percent accuracy and adjusts ...
High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...
Classification is an AI task where the system assigns something to a category. Examples include sorting emails into spam and ...
Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...