Familial confounding and causal inference in child and adolescent neurodevelopment and mental health
Recent announcements by the US Government linking paracetamol use during pregnancy to autism in offspring highlight the risks of misinterpreting observational research to inform policy; this is a ...
Introduction Climate-sensitive mortality in rapidly urbanising tropical Africa is poorly characterised, and how pandemics ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. The AI hardware market looks a lot different today than it did yesterday, thanks to the ...
Abstract: Causal inference with spatial, temporal, and meta-analytic data commonly defaults to regression modeling. While widely accepted, such regression approaches can suffer from model ...
Microsoft has announced the launch of its latest chip, the Maia 200, which the company describes as a silicon workhorse designed for scaling AI inference. The 200, which follows the company’s Maia 100 ...
Abstract: Deep neural networks (DNNs) often struggle with out-of-distribution data, limiting their reliability in real-world visual applications. To address this issue, domain generalization methods ...
Abstract: Data-driven soft sensor techniques are increasingly being applied in complex industrial environments, enabling the modeling of many previously intractable variables and playing a critical ...
As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, trusted systems. In partnership withHPE Training an AI model to predict ...
GPU inference error in ai.djl.examples.inference.clip.ImageTextComparison #3810 Open geekwenjie opened last week ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results