Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
EurekAlert!

From leaf images to genomes: deep learning reshapes pest-resistant breeding

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.
Time

Convolutional Neural Networks (CNNs)

This article is published by AllBusiness.com, a partner of TIME. A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically ...
European Medical Journal

Lightweight Neural Networks Improve Lung Cancer Diagnosis

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Semiconductor Engineering

IMC: Free-Space Optical Neural Network With High Clockrate (Berkeley, USC, TU Berlin)

A new technical paper titled “High-clockrate free-space optical in-memory computing” was published by researchers at UC Berkeley, USC,  and TU Berlin. Abstract “The ability to process and act on data ...
European Medical Journal

AI Retinal Imaging Enables Contactless Blood Pressure Biometry

AI analysis of retinal images may enable cuffless blood pressure biometry with accuracy comparable to traditional arm cuff measurements.
GlobalData on MSN

FDA clears Spectrum Dynamics’ Veritas.AI platform

Veritas.AI is designed to advance the functionality of Spectrum Dynamics’ VERITON-CT scanner for nuclear imaging.
TMCnet

Food Allergy Diagnostics are Enhanced by Machine Learning and Deep Learning AI Models

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...