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The Data Is the Model: Jose M. Plehn’s Vision for Verifiable AI and Civil Society
Artificial intelligence continues to astonish the world with its expanding, awe-inspiring capabilities. But, beneath t ...
Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace ...
Fair, transparent and accountable by design—this is how institutions can trust innovation to build smarter systems and a ...
Blake O’Shaughnessy, a top real estate broker turned tech founder, examines why the housing market still operates behind a ...
As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...
In an era where trust has become the currency of the digital economy, Dorai Surendar Chittoor stands as one of the foremost architects of transparent and explainable AI systems. For over a decade, he ...
The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...
Recently, JPMorgan Chase announced a shift in how it manages access to consumer banking data, introducing new data access fees for third-party aggregators. While the move focuses on infrastructure ...
CRU’s decision to withhold data and code from public inspection is not only against the scientific method, given the impact their work has on governmental policies and taxpayer funded programs, it is, ...
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