For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

There were an estimated 155,000 working days lost because of labour disputes across the UK in November 2025. This is the highest number of working days lost since January 2024, with over half of ...

Background The global surge in ultra-processed food (UPF) consumption is a major public health challenge, particularly among ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition computationally. Large language models (LLMs), such as ChatGPT, now support the ...

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.

Figuring out how to keep a chip cool is one of the biggest challenges to designing a more powerful and sustainable chip. Microsoft says it’s making progress on a new solution. Figuring out how to ...

The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...

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 ...

Introduction Anxiety disorders are among the most common co-occurring mental health conditions experienced by autistic youth. Without appropriate intervention, anxiety disorders and related ...

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 ...