The increasing use of AI in GST is leading to automated mismatch alerts and notices based on flawed data. The key takeaway is that reliance on inaccurate systems can result in unjust tax demands for ...
A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...
Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
Abbas, S.K. 2025. “Lending by Algorithm: Fair or Flawed? An Information-Theoretic View of Credit Decision Pipelines.” July 2024. SN Computer Science. https://link ...
Deep learning methods have shown transformative capacity in the basic problem of MRI scan-based brain tumor classification in medical diagnosis. This paper proposes a full framework to categorize ...
Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...
Commentary: I'm seeing the AI label abused more and more often at tech shows as brands try to push it into everything, correct or not. Tyler has worked on, lived with and tested all types of smart ...
Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...
1 Department of Mathematics, Meru University of Science & Technology (MUST), Meru, Kenya. 2 Department of Mathematics, Pan African University Institute of Basic Sciences Technology and Innovations ...
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