Synthetic Data Startup Simerse Joins NVIDIA Inception

Synthetic Data Startup Simerse Joins NVIDIA Inception Simerse, Inc. today announces that it has joined the NVIDIA Inception Program, the premiere acceleration platform for Artificial Intelligence (AI) and other high-tech startups. Simerse enhances AI/ML models with synthetic data, helping companies augment their AI training datasets. Synthetic data enables companies to move quicker and test machine … Read more

5 Things to Know About Real-World Data Collection for Machine Learning

Recent advancements in machine learning are absolutely phenomenal. There is no other way to put it. Research scientists from top-tier universities and data scientists from leading technology firms have created incredibly sophisticated models and frameworks to teach computers how to learn. Today, design of deep convolutional neural networks—so called because their design mimics the human … Read more

Synthetic Data in an Era of Data Privacy

Synthetic Data in an Era of Data Privacy Artificial Intelligence (AI) is being hailed as the breakthrough technology of this century. AI relies on training data to learn and recognize patterns. However, the collection of training data can present privacy concerns. For example, it is hard to anonymize faces in image datasets. It is also … Read more

Better Insights: How Retail can Benefit from Computer Vision

Image of a store.

Better Insights: How Retail can Benefit from Computer Vision Computer vision can enhance physical retail stores. From better in-store experiences to reducing shrinkage, computer vision offers plethora of improvements.  What is computer vision? Computer vision analyzes images and video to identify and classify objects. First, computer vision algorithms train on an annotated dataset to learn objects. This … Read more

A Review of Synthetic Data in Autonomous Vehicles

A Review of Synthetic Data in Autonomous Vehicles Background Synthetic data is already widely used by autonomous vehicle companies. Think about it: in many cases, simulations are critical to validating new driverless technologies without endangering real people. But the simulation systems are not the same across companies—in many cases, companies have developed their own proprietary … Read more

5 Key Findings from MIT’s Research Into Data Annotation & Labeling

5 Key Findings from MIT’s Research Into Data Annotation & Labeling Researchers at the MIT Computer Science & Artificial Intelligence Lab recently wrote a paper examining common datasets used for Machine Learning (ML). What they found was highly surprising, with significant implications for AI research. In this article, we will review the five most relevant … Read more

A Review of the MIT Synthetic Data Vault

The Synthetic Data Vault (SDV) is an MIT-licensed, open source project for generating tabular, relational, and time-series synthetic data. Ultimately, the project is aimed at helping researchers acquire non-visual training data. This project is particularly useful for metadata. For example, in the context of medical records, the Synthetic Data Vault could be used to generate … Read more