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Tag: training data

Fake Data Comes to the Forefront

The lack of data historically has been a limiting factor in the development of predictive models. But with the advent of automated methods to generate skads of synthetic data, or what some call “fake data,” the lack Read more…

Synthetic Data: Sometimes Better Than the Real Thing

Having a large stockpile of data is still a prerequisite for advanced analytics and AI. But companies building AI models increasingly are finding that artificially created data can be just as good as the real thing. And Read more…

Synthetic Data Market Gets Real

A growing list of data privacy regulations along with demand for better training data is spawning new AI-based approaches to managing “personally identifiable” information, including “synthetic” data sets that re Read more…

Air Force AI Plan Treats Data as ‘Strategic’

The U.S. military’s approach to AI is equal parts offense and defense, acknowledging that primary adversary China could also weaponize the technology as a form of asymmetrical warfare in which U.S. military superiority Read more…

Faulty Data is Stalling AI Projects

Tens of billions will be spent this year on AI development, but those efforts continue to be stymied by ratty data that has undermined model training efforts and burned through project budgets. That’s the sobering c Read more…

Training Data: Why Scale Is Critical for Your AI Future

Data is the fuel that drives AI. But there's a big difference in the quality of fuel you can put into your AI engine. If your enterprise can create the biggest stockpile of the highest quality training data, it will like Read more…

Transfer Learning Project Looks to Reuse Training Data

A new open source project seeks to simplify the use of a machine learning framework called “transfer learning” in which the ability to accomplish one task can be applied to subsequent tasks. Transfer learning spec Read more…

Unstructured Data Miners Chase Silver with Deep Learning

The traditional approach to mining unstructured data typically involves training machine learning models upon high-quality "gold standard" data that's been meticulously groomed. But thanks to innovations in deep learning Read more…

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