Blind and low-vision programmers have long been locked out of three-dimensional modeling software, which depends on sighted ...
A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real ...
This project aims to demonstrate how to configure visible and infrared datasets to accommodate multimodal object detection tasks based on YOLOv11. With three different configuration methods (directory ...
Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...
Neural networks (NNs) are now being extensively utilized in various artificial intelligence platforms specifically in the area of image classification and real-time object tracking. We propose a novel ...
1 School of Information and Computer, Anhui Agricultural University, Hefei, China 2 School of Electrical Engineering and Automation, Wuhan University, Wuhan, China With the development of bionic ...
We demonstrate multiscale phase-contrast X-ray computed tomography (CT) of postmortem human brain tissue. Large tissue volumes can be covered by parallel-beam CT and combined with subcellular detail ...
We describe the computational design of proteins that bind the potent analgesic fentanyl. Our approach employs a fast docking algorithm to find shape complementary ligand placement in protein ...
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