New framework renders AI more trustworthy for cancer subtyping

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

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Circuit Digest

How to Make a Raspberry Pi Waste Segregation System Using CircuitDigest Cloud

Even when we clean, because of laziness or lack of time, we often throw all waste into the same bin without separating ...
GitHub

Ideogram 4: Open image model at the forefront of design

Ideogram 4 is Ideogram's first open-weight text-to-image model. It is a state-of-the-art foundation model trained from scratch — not a fine-tune of any existing model. It introduces a new structured ...
IEEE

Image-Based Accelerated Prediction of Thermal Properties of Package Substrates Using Combined Deep-Learning and an Enhanced Thermal Network Model

Abstract: As the need for processing large amounts of data increases, power consumption and the complexity of semiconductor package patterns also rise, making thermal management crucial. Traditional ...