Bringing it all into focus—computational microscope captures 25.2 billion pixels per second across a wide field of view

When designing microscopes, optical engineers have long faced a trade-off between speed, field of view and resolution. But ...
Tech Times

Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI demonstrates brain-faithful training on convolutional networks for the first time ...
IEEE

SSCATeR: Sparse Scatter-Based Convolution Algorithm with Temporal Data Recycling for Real-Time 3D Object Detection in LiDAR Point Clouds

Abstract: This work leverages the continuous sweeping motion of LiDAR scanning to concentrate object detection efforts on specific regions that receive a change in point data from one frame to another ...
Frontiers

High-efficiency sparse convolution operator for event-based cameras

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
IEEE

Automatic Crack Locating Algorithm Using a Convolution Kernel Based on Eddy Current Field for the Fractal Planar Eddy Current Probe

Abstract: The quantitative evaluation of defects is one of the challenges of eddy current (EC) testing. Efficient algorithm that requires a small amount of time and hardware resources is needed. In ...
GitHub

GPU 100 days Learning Journey

This document serves as a log of the progress and knowledge I gained while working on GPU programming and studying the PMPP (Parallel Programming and Optimization) book. Implemented vector addition by ...
Scientific Research Publishing

Amer, S.M., Khalaf, A.A.M., Hussein, A.H., Alqahtani, S.A., Dahshan, M.H. and Kassem, H.M. (2024) New Antenna Array Beamforming Techniques Based on Hybrid Convolution/Genetic ...

ABSTRACT: The development of new technologies in smart cities is often hailed as it becomes a necessity to solve many problems like energy consumption and transportation. Wireless networks are part of ...
marktechpost

This AI Research Unveils a Deep Convolutional Neural Network CNN-MLP Algorithm for Enhanced Brain Age Prediction: A Game-Changer in Neurodegenerative Disease Prognosis

In tackling the intricate task of predicting brain age, researchers introduce a groundbreaking hybrid deep learning model that integrates Convolutional Neural Networks (CNN) and Multilayer Perceptron ...
GitHub

error in inference process (no valid convolution algorithms available in CuDNN)

error in inference process (no valid convolution algorithms available in CuDNN) #25 New issue ...
Scientific Research Publishing

Soni, A.N. (2019). Spam E-Mail Detection Using Advanced Deep Convolution Neural Network Algorithms. Journal for Innovative Development in Pharmaceutical and Technical Science ...

ABSTRACT: Spam emails pose a threat to individuals. The proliferation of spam emails daily has rendered traditional machine learning and deep learning methods for screening them ineffective and ...