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.
A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium oxide that mimics how neurons process and store information at the same time. Unlike conventional chips that waste energy moving data back and forth, this device operates with ultra-low power—potentially slashing energy use by up to 70%.
Posted: April 23, 2026, 6:01 am
A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By tracking how temperature patterns shift over time, it can reveal fast-moving, small-scale currents that were previously impossible to observe directly. These currents are key to understanding climate, marine ecosystems, and carbon storage. The breakthrough works using satellites already in orbit, making it both powerful and cost-effective.
Posted: April 22, 2026, 7:48 am
A 150-year-old rule in geometry has been proven wrong. Mathematicians found two different doughnut-shaped surfaces that look identical when measured locally but are actually different overall. For decades, researchers suspected this might be possible but couldn’t prove it—until now. The breakthrough reshapes how mathematicians understand the relationship between local measurements and global form.
Posted: April 22, 2026, 5:49 am
AI-powered personas are becoming so realistic that they can infiltrate online communities and subtly steer public opinion. Unlike traditional bots, they adapt, coordinate, and refine their messaging at a massive scale, creating a false sense of consensus. Early warning signs—like deepfakes and fake news networks—have already appeared in global elections. Researchers warn that the next election could be the true test of this technology’s power.
Posted: April 20, 2026, 9:47 am
After two centuries of failed attempts, scientists have finally grown dolomite in the lab, cracking a long-standing geological puzzle. They discovered that the mineral’s growth stalls because of tiny defects—but in nature, those flaws get washed away over time. By mimicking this process with precise simulations and electron beam pulses, the team achieved record-breaking crystal growth. The finding could reshape how high-tech materials are made.
Posted: April 20, 2026, 6:28 am
A surprising breakthrough in physics could reshape the future of computing by tapping into a strange, previously untapped property of matter. Scientists have shown that tiny atomic vibrations—called chiral phonons—can directly transfer motion to electrons, allowing them to carry information without magnets, batteries, or even electricity. This opens the door to a new field known as orbitronics, where data is processed using the orbital motion of electrons instead of traditional charge or spin.
Posted: April 19, 2026, 12:31 pm
Calling AI things like “smart” or saying it “knows” something might sound harmless, but it can quietly mislead people about what AI actually does. A new study shows that news writers are more careful than expected, rarely using strongly human-like language. When they do, it often falls on a spectrum—sometimes describing simple requirements, other times hinting at human traits.
Posted: April 19, 2026, 8:02 am
Engineers at Northwestern University have taken a striking leap toward merging machines with the human brain by printing artificial neurons that can actually communicate with real ones. These flexible, low-cost devices generate lifelike electrical signals capable of activating living brain cells, a breakthrough demonstrated in mouse brain tissue.
Posted: April 18, 2026, 7:32 am
Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic systems. By letting a quantum computer identify hidden patterns in data, the AI becomes more accurate and stable over time. The method outperformed standard models while using far less memory. This could have big implications for fields like climate science, energy, and medicine.
Posted: April 18, 2026, 3:51 am
A massive Swedish study shows that AI can spot people at higher risk of melanoma using routine health data. Advanced models significantly outperformed basic methods, identifying high-risk groups with striking accuracy. Some individuals flagged by the system had up to a 33% chance of developing melanoma within five years. This approach could pave the way for smarter, more targeted screening.
Posted: April 15, 2026, 8:36 am
In a major breakthrough, scientists have observed electrons in graphene flowing like a nearly frictionless liquid, defying a core law of physics. This exotic quantum state not only reveals new fundamental behavior but could also unlock powerful future technologies.
Posted: April 15, 2026, 8:26 am
In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to “wiggle” slightly instead of marching in straight lines, they can slip past each other and keep tasks flowing smoothly.
Posted: April 15, 2026, 7:45 am
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