Results 131 to 140 of about 17,229 (237)
From few‐shot learning to data‐efficient intelligence
Abstract Modern artificial intelligence (AI) has achieved remarkable progress by scaling data, model size, and computation. Yet scaling alone does not resolve one of the most fundamental gaps between machine and human intelligence: the ability to learn, adapt, and act from limited experience. This limitation is especially visible when labeled examples,
Yaqing Wang
wiley +1 more source
Abstract Even while AI based on large language models makes enormous advances, many AI researchers and pundits argue that it LLMs are an inadequate basis for AI because they do not support exact logical and probabilistic reasoning. I argue in response that LLMs can and are using tools to perform such normative reasoning, and thus are in face already ...
Henry Kautz
wiley +1 more source
Allocentric navigation is computationally universal. [PDF]
Piccinini G.
europepmc +1 more source
Turing machines are probably told to be impractical because of the initial description given by their author, which is accordingly rudimentary. However, at each step, Turing modifies the syntax in accordance with his goals. We shall describe each of the languages successively used by Turing by making explicit its grammar, justifying every new ...
openaire +2 more sources
Student perspectives on the value of university mobility programmes
Abstract The purpose of this study was to examine the benefits of university–organised international experience for full‐time undergraduate students at a single English post‐1992 university with a high proportion of widening participation entrants. Using a mixed‐methods design, data were collected from 91 undergraduates through a questionnaire and a ...
J. Disley, L. Machin, D. Hindmarch
wiley +1 more source
Science Needs for a Terrestrial Biosphere Tipping Point Early Warning System
Abstract Tipping points in the Earth system have the potential to cause major detrimental impacts to the biosphere and societies. Their inherent nonlinearity implies that even relatively small additional increases in external forcing might result in disproportionately large adjustments to components of the Earth system.
Jesse F. Abrams +13 more
wiley +1 more source
Factors Predicting Pre‐Service Teachers' Intentions to Use Artificial Intelligence Software
ABSTRACT This research investigates the factors affecting pre‐service teachers' (PSTs) behavioural intentions (BI) to use artificial intelligence software in their future classes. The study examined factors affecting PSTs' behavioural intentions using an extended UTAUT framework comprising Performance Expectancy (PE), Effort Expectancy (EE), Social ...
Kubra Acikgul +2 more
wiley +1 more source
Is A Little Learning Dangerous?
ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
Conventional clinical trials remain the benchmark for evaluating therapeutic safety and efficacy, yet they are constrained by escalating costs, withdrawal over the extended follow‐up periods, recruitment difficulties, ethical limits, and a restricted ability to characterize heterogeneous populations.
Maximilian Balmus +7 more
wiley +1 more source

