1000
Sponsored
10
Scholars Around The World
250
People Impacted
10
Intellectual Support
Together we can
make a Difference
स्वस्मै स्वल्पं
समाजाय सर्वस्वं
The Center For Artificial Intelligence & Environmental Sustainability Foundation
About CAIES
Solutions are designed based on the 'goals' considering its multidimensional aspects which are grounded in micro and macro scientific and technical rigors.
About the Foundation
The Center for Artificial Intelligence and Environmental Sustainability (CAIES) Foundation, is a niche Section (8) non-profit organization that focuses on trans-disciplinary challenges, which require sustainable outcomes that are implementable and operational in the areas of environment, economics, and society through extensive research and development using cutting edge data science, machine learning, artificial intelligence, and geospatial tools and technologies.
Focus Areas
Our focus areas are centered around the six areas of environmental sustainability prioritized by the World Economic Forum, Geneva, Switzerland and the Sustainable Development Goals set by the United Nations.
The CAIES Foundation would extend its education, training, and research activities in other areas required to address the sustainability issues.
Opportunities at CAIES
CAIES generously promotes and supports research in fundamental and applied science through internships for school students, undergraduate, postgraduate, and PhD students. We look for people who are committed to science, society, and humanity, who have passion and dedication to accomplish their goals through sincere efforts. If you know what you want, we know how to make it happen.
Our recent publications
From curious minds to groundbreaking discoveries, your gateway to scholarly excellence
Read More Jan 02.2025
From 'Sexiest Job' to 'Most Responsible Role': The Evolution of Data Scientists
This opinion article explores the evolving responsibilities of data scientists in the current data-driven landscape, in which ethical, privacy, and governance standards have grown considerably in importance.
Read More May 31.2023
Landslide susceptibility prediction using frequency ratio model: a case study of Uttarakhand, Himalaya (India)
The purpose of this study is to develop a landslide susceptibility prediction model by applying the Frequency Ratio (FR) model and remote sensing data sets for the Northern part of Uttarakhand, India.
Read More August 31.2022
Influence of differential arsenic exposure on cellular redox homeostasis of exposed rural women of West Bengal
The metalloid arsenic (As) induces oxidative stress is a well-known fact. However, the extent of variation of oxidative stress according to different exposure levels of As.
Events
स्वस्मै स्वल्पं समाजाय सर्वस्वं - A little for self and everything for others
Deepawali Celebration Among Musahar Community
2022
BIHAR, INDIA
In 2022, Deepawali was celebrated among the Musahar community in Bihar, India, marked by cultural festivities and communal gatherings.
Read More
Deepawali Celebration Among Musahar Community
2023
Bihar, India
In 2023, Deepawali was celebrated among the Musahar community in Bihar, India, marked by cultural festivities and communal gatherings.
Read More
Aaranyakam - KDU
2023
Kerala, India
In 2023, Kerala University of Digital Sciences Student Council, with School of Informatics, celebrated Wildlife Week with events promoting conservation.
Read More
Lecture on "AI in Material Science"
2024
Bihar, India
As part of the "Artificial Intelligence for Scientists" initiative by the CAIES Foundation, Dr. Sushant Singh delivered a lecture on "AI in Material Science" at the Materials Research Lab, PG Department of Physics, A. N. College, Patna, Bihar, India. The session aimed to showcase how Artificial Intelligence (AI) revolutionizes material science research and drives innovation in this critical field. The Materials Research Lab is headed by Professor Dr. Seema Sharma, a known Physicist and material scientist. She spearheads multiple collaborative projects with the Royal Society London, UK, and other institutions. It was a pleasure seeing students from rural areas working in the lab for their Master's and PhD research. We will work together to make the lab AI-enabled.
Read More