Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...
Tech Xplore on MSN
Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...
Canton Repository on MSN
Meet Deepshikha Bhati, a Kent State at Stark lecturer with a passion for AI
In this week's "Five questions with" feature, meet Deepshikha Bhati, a Kent State University at Stark faculty member with a ...
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 ...
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 ...
Explainable AI must answer many explainable questions, what, where, when, who and how is an AI Outcome derived ethically and responsibly. Board Directors and CEO's must accelerate their leadership in ...
Discovering new inorganic materials is central to advancing technologies in catalysis, energy storage, semiconductors, and ...
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