New Electronics

Analogue’s AI generation

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.
IEEE

Anomaly Detection in Encrypted Network Traffic Using Deep Learning

Abstract: The use of encrypted traffic to protect user privacy has surged in response to the network security threats posed by the rapid advances in IoT, data science, and online services. Encryption ...
The Lancet

Development and validation of a deep learning model to predict visual and anatomical ...

aDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China bKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, ...

The most innovative enterprise companies of 2026

Here’s why Figma, Microsoft, IBM, and Capital One are among Fast Company’s Most Innovative Companies in enterprise for 2026.
chromatographyonline

AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...
American Institute of Physics

Using deep learning to better forecast tropical cyclone tracks and intensities

Tropical cyclones are among the deadliest natural disasters, and the most expensive to recover from. Accurately predicting their tracks and intensities can improve early warning systems, thereby ...
ophthalmologyadvisor

Retinal Detachment Diagnosis Strong Using Deep Learning-Powered Fundus Images

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...
GEN

Deep Learning Model Developed to Help Predict Functional Impact of Regulatory Mutations

A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...
The Lancet

Integration of clinical data with scanned ECGs using deep learning methods for stroke risk ...

bLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom cDepartment of Eye and Vision ...
IEEE

Medical Microwave Imaging Using Physics-Guided Deep Learning Part 2: The Inverse Solver

Abstract: Deep learning has the potential to address the bottleneck of conventional medical microwave tomography, which is ill-posed and has a high computation cost. However, current physics-guided ...
eLife

Separating selection from mutation in antibody language models

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.