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Tech Xplore1d
New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...
Semiconductor Engineering3d
Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing (Infineon, U. Padova et al.)
A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...
GitHub20d
GitHub - ridwaanhall/Neural-Network-from-Scratch: A professional implementation of a neural network from scratch using only NumPy for MNIST digit classification.
A professional implementation of a neural network from scratch using only NumPy for MNIST ... Test a trained model python apps/test.py --model-path models/mnist_model_YYYYMMDD ... # Classification ...
Frontiers21d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China - Frontiers
The main objectives of this paper are as follows: (1) to evaluate the accuracy of machine learning and deep learning algorithms in classifying tree species using UAV-LiDAR data; (2) to investigate the ...
InfoQ26d
Google Releases MedGemma: Open AI Models for Medical Text and Image Analysis - InfoQ
Google has released MedGemma, a pair of open-source generative AI models designed to support medical text and image understanding in healthcare applications. Based on the Gemma 3 architecture, the mod ...
IEEE26d
Image Manipulation Localization Using Attentional Cross-Domain CNN Features
Along with the advancement of manipulation technologies, image modification is becoming increasingly convenient and imperceptible. To tackle the challenging image tampering detection problem, this ...
IEEE29d
Concern With Center-Pixel Labeling: Center-Specific Perception Transformer Network for Hyperspectral Image Classification | IEEE Journals & Magazine | IEEE Xplore
Self-attention-based approaches that leverage global context information for hyperspectral image (HSI) classification have gained increasing prominence. Nevertheless, due to the assignment of ...