Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Banks will leverage Explainable AI (XAI) tools like SHAP and LIME to demystify complex models, making AI-driven decisions and ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Thredd CTO Edwin Poot explains how explainable AI and real-time, context-aware decisioning are reshaping digital commerce and ...

Discovering new inorganic materials is central to advancing technologies in catalysis, energy storage, semiconductors, and ...

Explainable AI (XAI) is a field of AI that focusses on developing techniques to make AI models more understandable to humans. Explainable AI (XAI) is a field of AI that focusses on developing ...

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...

Explainable AI helps companies identify the factors and criteria algorithms use to reach decisions. (Photo by Jens Büttner/picture alliance via Getty Images) Artificial intelligence is biased. Human ...

Google LLC has introduced a new “Explainable AI” service to its cloud platform aimed at making the process by which machine learning models come to their decisions more transparent. The idea is that ...