“Trust comes from being able to check the answer and the path that produced it,” said Daniel Escott, Chief Executive Officer at Formic AI. “Boreal gives teams a clear link back to source documents and ...
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 ...
Global research by McKinsey shows that the adoption of AI in businesses more than doubled between 2017 and 2022. In 2017, 20% of respondents reported adopting AI in at least one business area. By 2022 ...
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 ...
As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...
The 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 ...
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 ...
As we head into 2026, continuous education around the nuances and misconceptions of AI will support process industries—and ...
Explore how AI is transforming risk management in banking, enhancing credit assessments and compliance automation, while ...
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