synthetic

Demystifying complexity: beyond images and language modelsGenerative Adversarial Networks (GANs) have become hugely popular for their abilities to generate both beautiful and realistic images, and language models (e.g. ChatGPT) that are increasingly rising in their use across every sector. These GAN models are arguably the reason AI/Machine learning have gotten the excitement (or fear) the world holds for the field right now; because it has shown everyone (especially those outside the field) the immense potential that…

A legal take on using synthetic data for AI trainingDISCLAIMER: This is not another pro and con article for the collection.Anne Fehres and Luke Conroy & AI4Media / Better Images of AI / Humans Do The Heavy Data Lifting / CC-BY 4.0Synthetic data has been mentioned as a promising avenue for enabling research, product development or even supporting whole business models that depend on large quantities of data. Especially where real data is scarce, sensitive, or legally problematic to use. However, there appears to be a…

Use various data source types to quickly generate text data for artificial datasets.Continue reading on Towards Data Science » Use various data source types to quickly generate text data for artificial datasets.Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners,…

Scientists at the Max Planck Institute have developed a synthetic pathway that can capture CO2 from the air more efficiently than in nature, and shown how to implement it into living bacteria. The technique could help make biofuels and other products in a sustainable way.Plants are famous for their ability to convert carbon dioxide from the air into chemical energy to fuel their growth. With way too much CO2 in the atmosphere already and more being blasted out every day, it’s no wonder scientists are turning to this…

CReATiNG, a new method from USC Dornsife researchers, is transforming synthetic biology by enabling easier and more cost-effective construction of synthetic chromosomes from yeast DNA. This innovation holds potential for major advances in medicine, biotechnology, and space exploration. Credit: SciTechDaily.comUSC Dornsife’s CReATiNG technique revolutionizes synthetic biology by facilitating the cost-effective construction of synthetic chromosomes, promising significant advancements in various scientific and medical…

Exploring various metrics for synthetic time series evaluation with hands-on code examplesThis blog post is available as a jupyter notebook on GitHub and is a part of TSGM, a library for time series generative modeling.Today, we will discuss the evaluation of synthetic time series datasets — datasets that are artificially created to represent real data. Let’s say there is a synthetic dataset D* that is aimed at representing a real dataset D. It is essential to quantitatively evaluate how good these synthetic data are:…

Enterprises should guard the data as their deepest secret, as it fuels their lasting impact in the digital spectrum. In pursuing the same, synthetic data is a weapon that emulates actual data and enables many data functions without revealing the PII. Even though its utility is below real-time data, it is still equally valuable in many use cases.  For example, Deloitte generated 80% of training data from an ML model using synthetic data feeds.  For quality synthetic data, we need equally good data generation platforms that…

Leverage some simple equations to generate related columns in test tables.Image generated with DALL-E 3I’ve recently been playing around with Databricks Labs Data Generator to create completely synthetic datasets from scratch. As part of this, I’ve looked at building sales data around different stores, employees, and customers. As such, I wanted to create relationships between the columns I was artificially populating — such as mapping employees and customers to a certain store.Through using PySpark UDFs and a bit of…

Yesterday, the Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) members voted to ratify the 2023 TV/Theatrical Agreement with the Alliance of Motion Picture and Television Producers (AMPTP), which now officially puts an end to the historic Hollywood strikes that shut down most of the industry for months this year. Turnout for the vote was over 38%, and 78% of those voting did so in favor of accepting the new deal.SAG-AFTRA says the new deal includes more than $1 billion in new…

In the recent actors’ strike settlement, negotiators faced the unenviable task of finding ways to lock down smart answers to endless tech-transformed Hollywood questions. Nowhere was that task more difficult than to find smart and sensible solutions to very real issues and threats posed by artificial intelligence and its inevitable transformation of media and entertainment. For the most part, the contract’s AI protections are meaningful, setting critical guardrails on issues like replicating actor images,…