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 found two novel types of attacks that target the conditional branch predictor found in high-end Intel processors, which could be exploited to compromise billions of processors currently in use.
Posted: April 26, 2024, 8:52 pm
A new algorithm can identify the most predictive data points that a tipping point is near.
Posted: April 26, 2024, 8:52 pm
Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.
Posted: April 26, 2024, 8:52 pm
Researchers have developed a new PCB that performs on par with traditional materials and can be recycled repeatedly with negligible material loss. Researchers used a solvent that transforms a type of vitrimer -- a cutting-edge class of polymer -- into a jelly-like substance without damage, allowing solid components to be plucked out for reuse or recycling. With these 'vPCBs' (vitrimer printed circuit boards), researchers recovered 98% of the vitrimer and 100% of the glass fiber.
Posted: April 26, 2024, 8:51 pm
Researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.
Posted: April 26, 2024, 3:00 pm
The use of pliable soft materials to collaborate with humans and work in disaster areashas drawn much recent attention. However, controlling soft dynamics for practical applications has remained a significant challenge. Researchers developed a method to control pneumatic artificial muscles, which are soft robotic actuators. Rich dynamics of these drive components can be exploited as a computational resource.
Posted: April 26, 2024, 3:00 pm
Researchers have developed tiny, flexible devices that can wrap around individual nerve fibers without damaging them. The researchers combined flexible electronics and soft robotics techniques to develop the devices, which could be used for the diagnosis and treatment of a range of disorders, including epilepsy and chronic pain, or the control of prosthetic limbs.
Posted: April 26, 2024, 3:00 pm
Computer vision can be a valuable tool for anyone tasked with analyzing hours of footage because it can speed up the process of identifying individuals. For example, law enforcement may use it to perform a search for individuals with a simple query, such as 'Locate anyone wearing a red scarf over the past 48 hours.'
Posted: April 25, 2024, 5:16 pm
The IRIS infrared beamline at the BESSY II storage ring now offers a fourth option for characterizing materials, cells and even molecules on different length scales. The team has extended the IRIS beamline with an end station for nanospectroscopy and nanoimaging that enables spatial resolutions down to below 30 nanometers. The instrument is also available to external user groups.
Posted: April 25, 2024, 5:14 pm
Machines can learn not only to make predictions, but also to handle causal relationships. An international research team shows how this could make therapies safer, more efficient, and more individualized.
Posted: April 25, 2024, 5:14 pm
Diagnosing rare Mendelian disorders is a labor-intensive task, even for experienced geneticists. Investigators are trying to make the process more efficient using artificial intelligence. The team developed a machine learning system called AI-MARRVEL (AIM) to help prioritize potentially causative variants for Mendelian disorders.
Posted: April 25, 2024, 5:13 pm
Scientists are using artificial intelligence software to analyze plant root systems, laying out a protocol that can be applied to gather data on crop and model plant phenotypes (physical characteristics) more efficiently and with equal or greater accuracy than existing methods.
Posted: April 24, 2024, 10:24 pm
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