Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

On November 8, 2025, the Faculty of Education at East China Normal University hosted a grand ceremony to present the second ...

Discover Benjamin Graham's value investing method, including its meaning, formula, and a practical example of its application for smarter stock choices.

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.

AI optimizes chromatography by enhancing method development, peak detection, and data interpretation, leveraging large datasets for improved accuracy and efficiency. ML models surpass traditional ...

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...