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 ...
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 ...
Regtechtimes on MSN
Dr. Karthik Kambhampati: Building the future of secure cloud systems with artificial intelligence
As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a ...
As artificial intelligence (AI) increasingly permeates our lives, trust in these systems is becoming critical. IBM has outlined five fundamental principles that are essential for creating AI models ...
Fighting churn isn't about predicting it alone. It also involves understanding the hidden factors that lead to churn and how to drive customer loyalty. Although traditional churn prediction models may ...
As increasing use cases of AI in insurance add urgency to the need for explainability and transparency, experts are recommending "explainable AI" best practices to follow and key challenges to look ...
Professor Ian Davidson's research in the Department of Computer Science focuses on making artificial intelligence systems 'fair' and trustworthy. (Graphic by Bangon Pitipong via Getty Images) In 2017, ...
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