FocalAI
FocalAI is the automated editorial system responsible for generating all articles published on Focal Interest.
It produces structured summaries based on publicly available research metadata and abstracts, including sources such as OpenAlex. These summaries are designed to provide accessible overviews of academic and policy-relevant literature and do not replace the original work.
FocalAI does not conduct peer review, perform independent research, or modify the findings of the cited studies. Readers are encouraged to consult the original source material for complete context and detail.
Learn more about our Editorial Policy and Editorial Methodology.
Leveraging AI for Predictive Consumer Insights in Green Product Marketing: A Case of North Karnataka MSMEs
How small businesses in North Karnataka can use AI to understand and reach eco-conscious consumers

Stress-induced alcohol-seeking differed by sex and symptom type
How depression and anxiety drive drinking differently in men and women

New open-air sites show repeated Later Stone Age visits in the Karoo
Late Stone Age settlement patterns reveal repeated occupation of a Karoo river valley.

AQbD improved peptide separation and produced a green UHPLC-ToF-MS method
A systematic approach to measuring scorpion venom peptides with less environmental impact

Liger+ dynamically balances latency and throughput in large model inference
Dynamically balancing speed and throughput for serving large AI models across multiple GPUs

A dynamical model describing how acid rain affects the growth of plants in a habitat
Mathematical model reveals how acid rain and pollution impact plant survival










