Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
The HBR Playbook on overcoming change fatigue and positioning your people for agility. by Ania W. Masinter The amount and pace of organizational change today is staggering. Gartner research found that ...
Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...
Abstract: In object detection using event-based vision cameras, most current methods rely on recurrent layers. However, training recurrent layers requires continuous time event data, which means more ...
Most of what we understand about eviction trends in a given city or county comes from local court records. Often the best way to access these records is through a data request. This resource includes ...
Background: To compare the ability and potential additional value of various diffusion models, including continuous-time random walk (CTRW), restrictive spectrum imaging (RSI), and diffusion-weighted ...
Continuous processing can get products to market about 12 months faster than batch processing, according to a 2022 paper by the FDA. Understandably, the drive to transition to continuous bioprocessing ...
Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...
As is well known, the normal distribution is a key tool in probability and statistics. It can be described as a distribution that obeys a universal rule derived from one of the most important theorems ...
ENGLEWOOD CLIFFS, N.J.--(BUSINESS WIRE)--Own, the industry leader for SaaS data protection and activation, today announced the release of Continuous Data Protection for Salesforce customers, further ...