Educational Psychology Review, Vol. 23, No. 2, Prescriptive Statements: Philosophical, Theoretical, and Methodological Considerations (June, 2011), pp. 207-220 (14 pages) From the perspectives of the ...

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 ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

The algorithms are actually looking for patterns to identify the two-dimensional pictorial properties of a polar bear. A nose here, eyes over there, four legs, snout, some fuzzy white hump of fur in ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

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 ...

In today’s fast-paced and complex information environment, news consumers must make rapid-fire judgments about how to internalize news-related statements – statements that often come in snippets and ...

Artificial intelligence (AI) is a powerful force for innovation, transforming the way we interact with digital information. At the core of this change is AI inference. This is the stage when a trained ...