Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...
The vast proliferation and adoption of AI over the past decade has started to drive a shift in AI compute demand from training to inference. There is an increased push to put to use the large number ...
This post details the beginning of Bloomberg’s journey to build a machine learning inference platform. For those readers who are less familiar with the technical concepts involved in machine learning ...
A systematic dimensional analysis technique for analyzing complex tasks was developed. It was applied to the critical reading of paragraphs which require the use of logical inference rules. Five ...
This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...
Imagine you're telling a secret to a friend. This might be seeking advice on a personal matter or professional help. Most of the time, you expect this conversation to remain private and away from ...
Post by Ben Seipel, University of Wisconsin-River Falls/California State University, Chico; with Gina Biancarosa, University of Oregon; Sarah E. Carlson, Georgia State University; and Mark L. Davison, ...
Nvidia (NVDA) said leading cloud providers — Amazon's (AMZN) AWS, Alphabet's (GOOG) (GOOGL) Google Cloud, Microsoft (MSFT) Azure and Oracle (ORCL) Cloud Infrastructure — are accelerating AI inference ...
Post by Ben Seipel, University of Wisconsin-River Falls/California State University, Chico; with Gina Biancarosa, University of Oregon; Sarah E. Carlson, Georgia State University; and Mark L. Davison, ...
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