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.
MIT engineers have found a way to give chip-based lidar a wider, clearer view without relying on moving parts. Their design uses differently shaped antennas that can sit close together without scrambling one another’s signals. In tests, the system sharply reduced interference while steering a single precise beam across a broad field of view.
Posted: July 22, 2026, 10:00 am
Researchers are applying evolutionary theory to cancer by changing treatments before tumors have time to develop resistance. Mathematical models suggest that rapid, carefully timed switches between multiple therapies could improve cure rates.
Posted: July 22, 2026, 5:41 am
Scientists have created a programmable optical chip that can slow light on demand, giving engineers far greater control over how optical signals propagate through a circuit. The technology could provide the delays, synchronization, and buffering functions needed to make light-based computing more practical. A single chip could eventually perform several tasks that currently require separate devices, potentially reducing energy use, cost, and complexity in AI servers and data centers.
Posted: July 22, 2026, 2:43 am
A quantum problem once described as impossible for classical computers has now been solved using relatively modest hardware. Researchers used tensor networks to compress the overwhelming wave function created by hundreds of entangled qubits, allowing some calculations to run on a laptop. Their results matched both theoretical predictions and simulations performed with a quantum computer. The method could open new paths for exploring quantum dynamics and materials.
Posted: July 20, 2026, 7:40 am
A new AI-powered blood test could give people a remarkably early warning of serious heart and circulation problems. Developed by researchers at the University of Hong Kong, CardiOmicScore analyzes thousands of proteins and metabolites to estimate the risk of six major cardiovascular diseases, including heart attack, stroke, heart failure, and atrial fibrillation. Unlike genetic risk scores, which remain fixed throughout life, the system captures biological changes linked to a person’s current health, lifestyle, and environment.
Posted: July 19, 2026, 2:58 pm
A team of mathematicians used whimsical "silly sprinklers" to solve a physics mystery that has puzzled scientists for decades. Their experiments showed that the rotation of both normal and reverse sprinklers is driven by the momentum of flowing water, not by the outside water flow or other long-standing theories. The results finally provide a clear answer to Feynman’s famous sprinkler problem. They could also help engineers design more efficient fluid-powered machines.
Posted: July 17, 2026, 1:58 pm
A new review highlights exciting progress in atomically thin quantum materials where light and magnetism work together in ways never before possible. In these materials, light-generated excitons can interact directly with magnetic behavior, creating opportunities to control magnetic states using light alone. Scientists believe this could pave the way for advanced optical memory, quantum devices, and ultra-efficient photonic technologies.
Posted: July 16, 2026, 4:16 am
A new book claims AI has been built on a flawed assumption dating back to Alan Turing's famous 1950 paper. Peter J. Denning argues that the most important parts of human intelligence, including common sense, intuition, culture, and practical know-how, cannot be encoded into computers. He believes this makes true human-level AI impossible, regardless of how large language models become.
Posted: July 14, 2026, 3:12 am
Scientists at Nanyang Technological University in Singapore have discovered a surprisingly simple way to create exotic light structures called optical skyrmions using a 200-year-old optical effect known as the Poisson spot. Instead of relying on expensive, highly engineered materials, they simply shine a laser at a tiny circular disc, producing stable swirling patterns in light that researchers believe could one day help power advanced data storage, communications, and computing technologies.
Posted: July 13, 2026, 12:49 pm
A new study suggests the brain begins making decisions much earlier than scientists previously thought. Researchers found that even primary sensory regions are influenced by higher brain areas through rapid feedback loops, rather than simply passing information forward. This more dynamic view of brain function could help engineers design future AI systems that think more like biological brains while using far less power.
Posted: July 13, 2026, 12:12 pm
Physicists from Heinrich Heine University Düsseldorf (HHU) have examined a fundamental property of quantum mechanics in collaboration with the German Aerospace Center (DLR). In the scientific journal Physical Review Letters, they show that this theory does not necessarily need to be formulated with imaginary numbers – real numbers can in fact also be used. The American Physical Society has also dedicated a “Highlight” to these findings in its Physics Magazine.
Posted: July 13, 2026, 7:22 am
Researchers have achieved a major milestone by creating a long-sought two-dimensional quantum material and confirming its unusual conducting edge states. The ability to control these states through strain could make the material a promising platform for future room-temperature quantum electronics.
Posted: July 11, 2026, 7:03 am
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