When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...
In the inaugural address, Siba Kumar Udgata said the future AI development must focus not only on accuracy but also on ...
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...
NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
Recently, the research team led by Prof. LI Hai at the Institute of Health and Medical Technology, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a novel ...
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