The Stochastic Group, Inc. (TSG) is a full service statistical, machine learning, artificial intelligence consulting firm based in Atlanta, GA. Our company leverages its expertise in statistics, survey methodology, and computing to meet the data collection, management, and analysis challenges faced by individuals, businesses, governments, schools, and organizations in today's fast-paced, information-filled world.
Our specialties include the design and analysis of complex sample surveys, longitudinal/time-series modeling, multivariate analysis, predictive analytics, causal inference, analysis of correlated data, and survey research. We have expertise not only traditional and modern statistical methods, but we are also experts with the entire survey research development life-cycle, including the non-statistical aspects of survey research.
Our specialties include the design and analysis of complex sample surveys, longitudinal/time-series modeling, multivariate analysis, predictive analytics, causal inference, analysis of correlated data, and survey research. We have expertise not only traditional and modern statistical methods, but we are also experts with the entire survey research development life-cycle, including the non-statistical aspects of survey research.
Survey Sampling & Survey Research
We have specialized expertise in all areas of the survey research and development lifecycle.
Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers have developed an artificial intelligence (AI) model that helps to identify depression based on both speech and brain neural activity. This multimodal approach, combining two different data sources, allows a more accurate and objective analysis of a person's emotional state, opening the door to a new phase of depression diagnosis.
Posted: November 20, 2024, 5:18 pm
Asking children 'What does a scientist look like?' now results in more illustrations of women and people of color than decades ago. But do generative artificial intelligence (AI) tools also depict the diversity among scientists? Researchers prompted AI image generators for portraits of chemists. They found that none of the collections accurately represents the gender, racial or disability diversity among real chemists today.
Posted: November 20, 2024, 5:15 pm
A new theory, that explains how light and matter interact at the quantum level has enabled researchers to define for the first time the precise shape of a single photon.
Posted: November 19, 2024, 6:34 pm
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there is still room for increasing for example image contrast and resolution. Based on a unique deep learning architecture, a new computational model is faster than traditional models while matching or even surpassing their images' quality.
Posted: November 19, 2024, 6:32 pm
An international team has identified a strategy to improve both the performance and stability for solar cells made out of the 'miracle material' perovskite by mitigating a previously hidden degradation pathway.
Posted: November 19, 2024, 6:28 pm
Researchers have developed a new method of growing organic crystals that can be used for energy-harvesting applications.
Posted: November 19, 2024, 6:28 pm
In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and a second AI algorithm, the scientists can now automatically locate carcasses across vast landscapes.
Posted: November 19, 2024, 6:28 pm
Researchers have created a method that uses artificial intelligence to more accurately predict short-term river discharge using historical data from two hydrometric stations on the Ottawa River along with other weather-based parameters. They built on an existing type of algorithm called group method of data handling, which constructs predictive models by sorting and combining data into groups. The models are computed in different combinations repeatedly until the best and most reliable data combination is identified.
Posted: November 19, 2024, 6:26 pm
Researchers have introduced a technique for compressing a large language model's reams of data, which could increase privacy, save energy and lower costs. The new algorithm works by trimming redundancies and reducing the precision of an LLM's layers of information. This type of leaner LLM could be stored and accessed locally on a device like a phone or laptop and could provide performance nearly as accurate and nuanced as an uncompressed version.
Posted: November 18, 2024, 10:08 pm
Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.
Posted: November 18, 2024, 6:00 pm
A study has identified strategies for using large language models (LLMs), a type of artificial intelligence (AI), in health systems while maintaining cost efficiency and performance. The findings provide insights into how health systems can leverage advanced AI tools to automate tasks efficiently, saving time and reducing operational costs while ensuring these models remain reliable even under high task loads.
Posted: November 18, 2024, 5:58 pm
Humans and animals move with remarkable economy without consciously thinking about it by utilizing the natural oscillation patterns of their bodies. A new tool can now utilize this knowledge for the first time to make robots move more efficiently.
Posted: November 18, 2024, 5:58 pm
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