Danielle Bittterman on finding vulnerabilities in LLMs to make them safer, in this edition of the AI Prognosis newsletter.
Unanet's Kim Koster explains how Probability of Award helps GovCons move from intuition to data-driven forecasting and ...
Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide.
It’s worth noting that DeepMind also did exceptionally well at intensity forecasting, which is the fluctuations in the ...
With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...
A paper authored by University of Alabama in Huntsville (UAH) graduate student Zeb Leffler has been published in the ...
With heatwaves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information 4 to 7 weeks before summer, which ...
Testing several approaches for implied volatility modeling and forecasting. Design/methodology/approach – Comparative ...
With the year 2025 drawing to a close and Bitcoin trading at approximately $110,000, the market may be witnessing a textbook ...
Abstract: Accurate and timely traffic forecasting is essential for ensuring the efficiency, reliability, and safety of modern transportation networks. However, urban traffic exhibits high levels of ...
The ongoing government shutdown has delayed the official third-quarter GDP report release, although real-time estimates from ...
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