The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we raise children and how I engineer AI.

Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, complicated driving ...

China now has an open-weight model that can find software vulnerabilities and create attacks for anybody to use.

Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at ...

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...

Abstract: Adversarial examples represent a serious threat for deep neural networks in several application domains and a huge amount of work has been produced to investigate them and mitigate their ...

Abstract: The software engineering community is working to develop reliable metrics to improve software quality. It is estimated that understanding the source code accounts for 60% of the software ...