Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

M.S. in Biodiversity Data Analytics Program Director Viorel Popescu examines why biodiversity commitments are running into a ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Billion-dollar GPUs may dominate the headlines, but a strong sovereign storage foundation will prove the real star in ...

There is no single technology that will power the AI era; rather, I expect that the future lies in a portfolio of firm, ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

To achieve this AI competitive advantage, many companies are continuing to invest substantially in AI technologies. Over the ...

Security researchers from Radware have demonstrated techniques to exploit ChatGPT connections to third-party apps to turn ...

AI’s performance is often dubious, and to use it for safety-critical applications without continuous monitoring and iterative ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...