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.
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
Ultra-fine bubbles may offer a cleaner way to perfect inkjet printing for next-generation electronics. By simply changing the number of bubbles in each droplet, researchers were able to dramatically reshape the final printed pattern without leaving behind unwanted chemical residues.
Posted: July 11, 2026, 6:32 am
Scientists have created a silicon chip that can write dozens of DNA sequences simultaneously using electricity and water-based enzymes, offering a cleaner alternative to conventional DNA manufacturing. The breakthrough could eventually support portable DNA-writing devices and even massive DNA data storage, although new chemistry will be needed to scale the technology further.
Posted: July 9, 2026, 2:48 am
Water’s odd behavior becomes even more dramatic when it is supercooled, but scientists have struggled to compare the many different ways of describing its microscopic structure. Researchers at the University of Osaka used an AI model trained on computer simulations to evaluate 16 different structural descriptors. The system identified the most effective ways to distinguish between water’s two competing liquid states, providing a clearer framework for studying one of nature’s most mysterious substances.
Posted: July 8, 2026, 10:31 pm
Researchers have created an AI-based simulation that makes it much faster to model how neutron star mergers produce many of the universe's heaviest elements. The new tool could improve predictions of these powerful explosions while helping scientists better connect observations in space with experiments on Earth.
Posted: July 8, 2026, 4:07 am
A newly developed material can control and "program" heat, allowing it to direct thermal radiation, switch modes, and remember its settings without continuous power. The innovation could lead to smarter infrared sensors, better energy technologies, and memory devices that use light and heat instead of electrical charges.
Posted: July 7, 2026, 11:28 pm
Scientists have combined machine learning with quantum physics to discover two new superconductors and create a much faster way to search for many more. The technique could bring researchers significantly closer to the long-sought goal of a room-temperature superconductor.
Posted: July 7, 2026, 5:39 am
Quantum mechanics has journeyed from a strange and controversial idea to the foundation of some of humanity’s most advanced technologies. Now researchers are pushing its boundaries even further, with potential breakthroughs in energy, medicine, computing, and our understanding of the universe.
Posted: July 5, 2026, 6:13 pm
A major breakthrough in quantum technology has turned magnons, tiny magnetic waves once considered too short-lived for practical use, into promising carriers of quantum information. Researchers extended their lifetime by nearly 100 times, reaching up to 18 microseconds, and discovered that the main limitation is not a law of physics but the purity of the material itself. That means future improvements could come from better manufacturing rather than entirely new discoveries.
Posted: July 2, 2026, 6:48 am
A new quantum device can generate precisely controlled bursts of sound-like particles, or phonons, by forcing electrons through an ultra-thin crystal at extremely low temperatures. The surprising behavior pushes beyond the limits predicted by current theories, suggesting scientists need to rethink how energy moves through advanced materials. In the future, the breakthrough could lead to phonon lasers, faster communications, improved medical technologies, and powerful new sensing systems.
Posted: July 2, 2026, 2:11 am
A strange gamma-ray glow at the center of the Milky Way has long sparked debate over whether it comes from hidden neutron stars or elusive dark matter. By applying machine learning to more than a million simulated observations, researchers included photon energy data for the first time and reached a different conclusion than many earlier studies.
Posted: July 1, 2026, 3:13 am
A new AI-powered framework could transform how astronomers measure the expansion of the Universe. By analyzing images of Type Ia supernovae and modeling their environments in unprecedented detail, researchers can estimate cosmic distances with near-spectroscopic accuracy. The technique is designed for the flood of data expected from the upcoming Vera C. Rubin Observatory and may greatly improve our understanding of dark energy.
Posted: June 29, 2026, 9:57 pm
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