Results 141 to 150 of about 47,588 (323)
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li +5 more
wiley +1 more source
Local Search and the Evolution of World Models
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Apex predators exploit advantageous snow conditions across hunting modes
Advantageous snow conditions—in terms of snow depth and density—are among the most important features of the winter landscape for two apex predators, regardless of hunting strategy. In a warming climate, the knock‐on effects of a diminishing snowpack may reduce the hunting success of multiple large carnivore species.
Benjamin K. Sullender +7 more
wiley +1 more source
Content-oriented network slicing optimization based on cache-enabled hybrid radio access network [PDF]
Hao Jin, Haiya Lu, Chenglin Zhao
openalex +1 more source
Over the last 25 years, perceptions of the early prehistory of Northwest Africa have undergone radical changes due to new fieldwork projects and a corresponding growth in scientific interest in the region. Much of this work has been focused in Morocco, known for its extremely rich fossil and archaeological records in caves and rock shelters.
Nick Barton +3 more
wiley +1 more source
Edge caching in the Internet of Vehicles (IoV) can reduce backhaul strain and content access delay. However, due to the constant changes in vehicle requests, offloading applications to edge servers is crucial for efficiently anticipating and caching ...
Afsana Kabir Sinthia +2 more
doaj +1 more source
Caution Ahead: Numerical Reasoning and Look‐Ahead Bias in AI Models
ABSTRACT Recent work within accounting and finance has highlighted that modern AI systems exhibit superhuman performance on a variety of foundational activities within these fields. However, the literature often does not provide economic rationale for why AI models seem to outperform, largely because these models are a black box.
BRADFORD LEVY
wiley +1 more source
Vegetation cover promotes rodent activity and acorn dispersal, while wild boars exert a direct negative effect on mice. Conversely, deer and predators displayed no significant impact on rodent behavior. These results identify wild boars as the main disruptors of rodent‐mediated forest regeneration.
David Notario Rincón +9 more
wiley +1 more source
CSS-LSTM: An Intelligent Caching Strategy in NDN Clusters
In-network caching is a key aspect of Named Data Networking (NDN) due to its significant impact on network performance and data delivery efficiency. As content demand, particularly for multimedia, continues to grow, deciding what to cache, where to store
Ibrahim Khalil Douis +2 more
doaj +1 more source

