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

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

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

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

Trust only grows when companies can track their AI processes, fully explain the methods employed to arrive at outputs, and ...

Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, ...

Would you trust an artificial intelligence algorithm that works eerily well, making accurate decisions 99.9% of the time, but is a mysterious black box? Every system fails every now and then, and when ...

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

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 ...

The first consideration when discussing transparency in AI should be data, the fuel that powers the algorithms. Companies should disclose where and how they got the data they used to fuel their AI ...