C&EN

Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks

Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, U.K. ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Science ...
CNX Software

SunFounder PiCar-X 2.0 review – A Raspberry Pi 4 AI robot car programmable with Blockly or Python

SunFounder PiCar-X 2.0 is an AI-powered self-driving robot car using the Raspberry Pi 3/4 as the main processing board. It is equipped with a camera module that can be moved by a 2-axis servo motor, ...
Europe PMC

CCW-YOLOv5: A forward-looking sonar target method based on coordinate convolution and modified boundary frame loss

Multi beam forward looking sonar plays an important role in underwater detection. However, due to the complex underwater environment, unclear features, and susceptibility to noise interference, most ...
Frontiers

YOLOF-Snake: An Efficient Segmentation Model for Green Object Fruit

Accurate detection and segmentation of the object fruit is the key part of orchard production measurement and automated picking. Affected by light, weather, and operating angle, it brings new ...
GitHub

EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers

EdgeFormer, a pure ConvNet based light weight backbone model that inherits advantages of ConvNets and integrates strengths of vision transformers. Specifically, we propose global circular convolution ...
PNAS

Data-driven emergence of convolutional structure in neural networks

The interplay between data symmetries and network architecture is key for efficient learning in neural networks. Convolutional neural networks perform well in image recognition by exploiting the ...