Tag: explainable AI

Researchers at EPFL have developed MAGNETS, an inherently interpretable neural network that predicts continuous targets from time series by learning ...

An analysis of 31 US legal cases shows that medical AI harms patients across a web of stakeholders while existing ...

Researchers have developed an explainable multimodal machine-learning model that predicts with over 81 percent accuracy whether people with mild cognitive ...

Researchers have developed a UAV navigation framework that detects GPS spoofing with sparse autoencoders, fuses multi-sensor data for obstacle avoidance, ...

A new framework called EKT-XAI processes 95 million student interactions in minutes using a lightweight transformer that matches deep knowledge ...

A survey-weighted explainable machine-learning analysis of PISA 2018 data from 74,235 students in ten education systems shows that books at ...

Researchers have proven that minimizing graph counterfactual explanations is NP-hard and introduced Local Bounded Search, an algorithm that shrinks graph-based ...

Researchers combined Bayesian optimization, machine learning and explainable AI to identify silver-cobalt bimetallic nanoparticles that reduce nearly all p-nitrophenol in ...

A new survey maps how knowledge graphs can fix the hallucinations, weak reasoning, and opacity of large language models through ...

A new digital twin framework uses ensemble forecasting and a fast, explainable confidence index to defer non-critical water maintenance during ...