New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
IEEE

A pseudo-multi-task neural network classification model for cropland mapping in mountainous areas using high-resolution remote sensing images

Abstract: This paper presents a Pseudo-Multi-Task Segmentation Neural Network (PMTNet) for cropland mapping in mountainous regions using high-resolution remote sensing images. PMTNet extends BsiNet by ...
Nature

SPCNNet: spiking point cloud neural network for morphological neuron classification

Morphological neuron classification helps to reveal the functional characteristics and information transmission mechanisms of the nervous system. However, existing methods that use geometric feature ...
Nature

Attribution-based interpretable classification neural network with global and local perspectives

Neural networks are challenging to apply in domains requiring high reliability due to their black-box nature, and researchers are increasingly focusing on interpreting neural networks. While pursuing ...
Phys.org

Multisynapse optical network outperforms digital AI models

Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and lower energy use than traditional electronics. But despite their potential, ...
IEEE

Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks

Abstract: Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in ...
Frontiers

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, particularly for planning treatment strategies in patients with maxillary transverse deficiency (MTD). Although ...
Fox News

ChatGPT could be silently rewiring your brain as experts urge caution for long-term use

Using ChatGPT on a long-term basis could have negative effects on brain function. That’s according to a study led by the Massachusetts Institute of Technology (MIT), which found that using a large ...
LinkedIn

Harnessing the Power of Pretrained Models for Flower Classification

Hello LinkedIn network! I am thrilled to share with you a fascinating project I recently completed - a flower classification model using PyTorch and a pretrained model. This project has been an ...
C&EN

TorchANI: A Free and Open Source PyTorch-Based Deep Learning Implementation of the ANI Neural Network Potentials

This paper presents TorchANI, a PyTorch-based program for training/inference of ANI (ANAKIN-ME) deep learning models to obtain potential energy surfaces and other physical properties of molecular ...