Wall Street has trillions riding on the data center boom, and Citi is aiming to be a top player. "No bank is an incumbent," a ...
AI is revolutionizing how healthcare is delivered. Eliminating human error, AI can make healthcare more accurate, accessible, ...
NIIMBL’s 2025 National Meeting emphasized the need for system interoperability through standardization of means for data ...
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...
Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
This study develops a high-accuracy machine-learning framework to predict and optimize metal-doped MnO2 cathodes for aqueous ...
A new class of AI-native infrastructure companies is emerging to structure data for machine use—signaling that in the AI era, ...
Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...
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