InfoQ

GitHub Enhances CodeQL with Declarative Security Modeling for Faster, More Flexible Analysis

GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...

Study: AI models that consider user’s feeling are more likely to make errors

Now, new research suggests that large language models can sometimes show a similar tendency when specifically trained to ...

Breakthrough Polarization-Guided AI Removes Eyeglass Glare in Video Calls and Biometric Systems

Announcing a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250249. SHANNON, CLARE, IRELAND, ...
IEEE

Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-Objective Optimization

Abstract: Constrained multi-objective optimization problems (CMOPs) are of great significance in the context of practical applications, ranging from scientific to engineering domains. Most existing ...
marktechpost

How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...
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 ...
IEEE

Hybrid Multi-Scale Deep Learning Enhanced Electricity Load Forecasting Using Attention-Based Convolutional Neural Network and LSTM Model

Abstract: Accurate electricity load forecasting is crucial for efficient grid management, resource allocation, and maintaining stability, particularly in the face of increasing climate variability and ...
Frontiers

MTMEGPS: An R package for multi-trait and multi-environment genomic and phenomic selection using deep learning

The datasets analyzed in this study were obtained from the Genomes to Fields (G2F) initiative (www.genomes2fields.org). The dataset comprises 135 unique maize hybrids evaluated across nine ...
Frontiers

Development and validation of a multi-modality system combining radiomics and deep learning for predicting mid-pregnancy complications and enabling timely pregnancy care

To improve the early prediction of hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM), we developed and validated an artificial intelligence (AI) model. This initiative ...
The New York Times

OpenAI Calls a ‘Code Red’ + Which Model Should I Use? + The Hard Fork Review of Slop

This transcript was created using speech recognition software. While it has been reviewed by human transcribers, it may contain errors. Please review the episode audio before quoting from this ...