Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

Agriculture is one of the largest contributors to global greenhouse gas emissions, releasing carbon dioxide, methane, and nitrous oxide through fertilizer use, livestock production, irrigation, and ...

We propose a framework for constructing goodness-of-fit tests in both low and high dimensional linear models. We advocate applying regression methods to the scaled residuals following either an ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 4 (2018), pp. 817-836 (20 pages) The problem of misspecification poses challenges in model selection. The ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--Cerebras Systems, the pioneer in accelerating artificial intelligence (AI) compute, today unveiled the Cerebras Wafer-Scale Cluster, delivering near-perfect linear ...

Excerpted from “Ableism in Education: Rethinking School Practices and Policies” by Gillian Parekh. Copyright © 2022 by Gillian Parekh. Used with permission of ...