Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Utilizing machine learning to predict win probabilty, Leverage uses events that happen and compares them to opposing outcomes ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...
Machine learning reveals widespread integrity concerns in cancer studies, highlighting paper mill risks and why publishers must strengthen research oversight.
Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.
At a moment when the AI industry is obsessed with bigger models and higher scores, Professor Ganna Pogrebna opened the ...
The NFL just completed the 10th season of the Next Gen Stats era that has transformed the way fans consume the game, how ...
Hospitals want AI they can trust. And proof now matters more than promise. Almost 10 years ago, physician and data scientist ...
Explore the complexities of tauopathies and how new research could change their diagnosis and treatment approaches.
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