In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...
If large-scale datasets of experimental data can be built through this approach, it is expected to enable researchers to gain ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Mike Payne, president and owner of Hill Manufacturing & Fabrication love data and metrics. If he can pull information from a machine, he's doing it. Mike talked with IndustryWeek's Dennis Scimeca ...
LLM-Based Data Augmentation Method in Reinforcement Learning With Machine-Unlearning and Fine-Tuning
Abstract: Data augmentation in reinforcement learning (RL) aims to generate diverse and extensive datasets to enhance the learning process. Most existing studies on RL augmentation employ sample-based ...
Investigative needs differ across legal contexts, requiring distinct approaches to mobile data collection in criminal and civil cases. Overcollection of smartphone data leads to increased risk, ...
The data, from thousands of coal-burning power plants, oil refineries, steel mills and other industrial facilities, is the country’s most comprehensive way to track greenhouse gases. By Maxine Joselow ...
The processes used by the Bureau of Labor Statistics (BLS) to collect data for the jobs report have been under scrutiny after last week's disappointing jobs report, and one of the agency's former ...
There’s been a “targeted, surgical removal of data sets, or elements of data sets, that are not aligned with the administration’s priorities,” said Denice Ross at the Federation of American Scientists ...
Countries around the world are introducing or improving their personal insolvency regimes, but frequently the effects of these reforms are not evaluated, and the reforms themselves are not supported ...
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