Bengaluru: Congress govt in Karnataka went on the defensive Friday after a survey assessing voter trust in Electronic Voting ...

An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

Researchers from Tokyo Metropolitan University have studied the relationship between numerical information in our vision, and ...

You are able to gift 5 more articles this month. Anyone can access the link you share with no account required. Learn more. Consider what AI samples before assuming the summary it provides is without ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

Abstract: Deep Neural Networks have been shown to perform poorly or even fail altogether when deployed in real-world settings, despite exhibiting excellent performance on initial benchmarks. This ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...

The assessment of marine microbial biodiversity is crucial for determining either the environmental status (ecological or biodiversity research) or as a first step in the biodiscovery process ...

Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

Nested sampling (NS) has emerged as a powerful tool for exploring thermodynamic properties in materials science. However, its efficiency is often hindered by the limitations of Markov chain Monte ...