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 are blurring the lines between robotics and materials, with a proof-of-concept material-like collective of robots with behaviors inspired by biology.
Posted: February 21, 2025, 10:13 pm
Artificial Intelligence (AI), particularly large language models like GPT-4, has shown impressive performance on reasoning tasks. But does AI truly understand abstract concepts, or is it just mimicking patterns? A new study reveals that while GPT models perform well on some analogy tasks, they fall short when the problems are altered, highlighting key weaknesses in AI's reasoning capabilities.
Posted: February 21, 2025, 5:58 pm
Rubidium could be the next key player in oxide-ion conductors. Researchers have discovered a rare rubidium (Rb)-containing oxide-ion conductor with exceptionally high conductivity. Identified through computational screening and experiments, its superior performance stems from low activation energy and structural features like large free volume and tetrahedral motion. Its stability under various conditions offers a promising direction for solid oxide fuel cells and clean energy technologies.
Posted: February 21, 2025, 5:56 pm
Groundbreaking study shows machine learning can decode emotions in seven ungulate species. A game-changer for animal welfare? Can artificial intelligence help us understand what animals feel? A pioneering study suggests the answer is yes. Researchers have successfully trained a machine-learning model to distinguish between positive and negative emotions in seven different ungulate species, including cows, pigs, and wild boars. By analyzing the acoustic patterns of their vocalizations, the model achieved an impressive accuracy of 89.49%, marking the first cross-species study to detect emotional valence using AI.
Posted: February 21, 2025, 5:55 pm
A novel system that chases larval zebrafish around an arena with predator robots is enabling scientists to understand how these days-old fish quickly learn in the real world.
Posted: February 20, 2025, 9:43 pm
In a leap forward for quantum computing, physicists unveiled an eight-qubit topological quantum processor, the first of its kind. The chip, built as a proof-of-concept for the scientists' design, opens the door to the development of the long-awaited topological quantum computer.
Posted: February 20, 2025, 9:43 pm
A research team has unveiled a new artificial intelligence (AI) system that uses satellite imagery to track urban green spaces more accurately than prior methods, critical to ensuring healthy cities.
Posted: February 20, 2025, 9:42 pm
Researchers have developed Deep Nanometry, an analytical technique combining advanced optical equipment with a noise removal algorithm based on unsupervised deep learning. Deep Nanometry can analyze nanoparticles in medical samples at high speed, making it possible to accurately detect even trace amounts of rare particles. This has proven its potential for detecting extracellular vesicles indicating early signs of colon cancer, and it is hoped that it can be applied to other medical and industrial fields.
Posted: February 20, 2025, 5:29 pm
Researchers have developed a powerful computational tool, named iDOMO, to improve the prediction of drug synergy and accelerate the development of combination therapies for complex diseases. The study highlights iDOMO's ability to identify synergistic drug combinations using gene expression data, outperforming existing methods.
Posted: February 20, 2025, 5:26 pm
Dynamic facial projection mapping (DFPM) has reached new heights in speed and accuracy, with the development of a state-of-the-art system with groundbreaking innovations. The first breakthrough involved a hybrid detection technique combining different methods to detect facial landmarks in just 0.107 milliseconds. The researchers also proposed a way to simulate high-frame-rate video annotations to train their models and introduced a lens-shift co-axial projector-camera setup to reduce alignment errors, enabling smoother and more immersive projections.
Posted: February 20, 2025, 5:26 pm
Engineers have developed a versatile swimming robot that nimbly navigates cluttered water surfaces. Inspired by marine flatworms, the innovative device offers new possibilities for environmental monitoring and ecological research.
Posted: February 19, 2025, 8:46 pm
Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.
Posted: February 19, 2025, 5:12 pm
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