Learn how using historical data, instead of standard deviation, offers a more accurate assessment of stock volatility and risk management strategies.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

TEMPO.CO, Jakarta - A number of Islamic community organizations (ormas) have set different dates for the start of Ramadan ...

Prof. Alex Weinreb, chair of the Demography Area and Research Director at the Taub Center, published a study warning about a shortage of burial grounds that is worse than expected.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more ...

Bologna is usually treated as a simple deli meat with little preparation. This video shows how smoking bologna first and frying it afterward changes both texture and flavor. The process focuses on ...

JEE Main is conducted in multiple sessions with different question papers for fairness NTA uses percentile-based normalization to compare candidates across sessions Percentile score shows the ...

Method Man didn't know that his verse on the original version of "Got My Mind Made Up" would land on 2Pac's final album. The Wu-Tang Clan member discussed the surprise on the Tuesday (Jan. 13) episode ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Abstract: The traditional perturbation generation technique in the process of adversarial example generation requires a large amount of perturbation, which makes the example easy to be detected. An ...