Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
Reported results from enterprise implementations include 60% faster infrastructure provisioning, 45% reduction in ...
Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Edge MLIR HLS framework.” Abstract “Driven by the increasing demand for low-latency and real-time processing, machine ...
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
What Are Non-Human Identities, and Why Are They Critical for Secure Cloud Environments? Ensuring the security of non-human identities (NHIs) is paramount for organizations operating in cloud ...
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