Results 51 to 60 of about 38,078,382 (138)

Research on Embodied Intelligence Technology for Electric Power Equipment Based on Large‐Scale Pre‐Trained Models

High Voltage, EarlyView.
ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve general problems.
Yuanpeng Tan, Rui Song, Ankai Zhang, Wenhao Mo, Wenjin Ji   +4 more
wiley   +1 more source

DiffPost: Filtering non-relevant content based on content difference between two consecutive blog posts

, 2009
10.1007/978-3-642-00958-7_87Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)5478 LNCS791 ...
Seung-Hoon Na, Na, S.-H., Lee, Y., Jong-Hyeok Lee, Lee, J.-H., Na S.-H, Nam, S.-H., Lee Y, Lee J.-H., Sang-Hyob Nam, Nam S.-H, Yeha Lee   +11 more
core   +1 more source

The leukaemia in pregnancy study, a national multicentre retrospective study of pregnancy outcomes in women with concurrent or historic diagnoses of acute leukaemia

British Journal of Haematology, EarlyView.
Summary The leukaemia in pregnancy study was a multicentre retrospective study of pregnancy outcomes of women with concurrent (CAL) or previous (PAL) acute leukaemia. Cases were identified from eight hospitals. Of 39 screened cases, 12 CAL and 21 PAL cases were described, with one belonging to both groups.
Lukas Pitel, Matthew Northgraves, Judith Cohen, Chao Huang, John Turgoose, Simone Green, Steve Knapper, Gail Jones, Sarah Essex, Julie Kenny, Mhairi Copland, Panagiotis D. Kottaridis, Anjum Khan, Sahra Ali, David Allsup   +14 more
wiley   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

PSyHCoS: Parameter synthesis for hierarchical concurrent real-time systems [PDF]

, 2013
10.1007/978-3-642-39799-8_70Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)8044 LNCS984 ...
Liu, Y, Lin, SW, André, É., Jin Song Dong, Liu, Y., Sun, J., Étienne André, Yang Liu, André, E, Shang-Wei Lin, Sun, J, Lin, S.-W., Dong, JS, Dong, J.S., Jun Sun, LIN, Shang-Wei, DONG, Jin Song, SUN, Jun, ANDRÉ, Étienne, LIU, Yang   +19 more
core   +1 more source

Introduction to the proceedings of FAMAS'09 formal approaches to multiagent systems (introductory essay of the workshop)

, 2009
In recent years, multiagent systems have come to form one of the key technologies for software development. The Formal Approaches to Multiagent Systems (FAMAS) workshop series brings together researchers from the fields of logic, theoretical computer ...
Dunin-Keplicz, Barbara, Verbrugge, Rineke   +1 more
core   +1 more source

Preference‐Based Representations for Collective Agency

Topics in Cognitive Science, EarlyView.
Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir, Marieke van Vugt, Maia Fraser   +2 more
wiley   +1 more source

Computer science and computer engineering research equipment [PDF]

This grant supported acquisition of a minicomputer system for departmental research. The equipment selected is a DEC VAX-11/750 system, installed in remodeled space in the Computer Science (formerly Farm Crops) Building.
Tonge, Fred M.
core   +5 more sources

Goal‐Directed Latent Variable Inference: A Unified Active Inference Framework for Embodied Intelligence in Continuous Spatiotemporal Domains

Topics in Cognitive Science, EarlyView.
AbstractThis review presents goal‐directed latent variable inference (GLean) as a unified active inference framework for embodied intelligence operating in continuous spatiotemporal domains. We address a central challenge in cognitive science: how agents generate, adapt, and understand goal‐directed actions in noisy, high‐dimensional sensorimotor ...
Takazumi Matsumoto, Prasanna Vijayaraghavan, Jun Tani   +2 more
wiley   +1 more source

Application of Cooperative Control of Discrete‐Time Nonlinear Multi‐Agent Systems Based on Extended Kalman Unknown Input Observer

Vector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
This study is concerned with the application of consensus control to a class of discrete‐time nonlinear multi‐agent systems with unknown inputs and additive noise. The aim is to design an extended Kalman unknown input observer (EKUIO) such that the state vector of a discrete‐time nonlinear system can be estimated, additive noise can be mitigated, and ...
Yan Ren, Kai Weng, Liyun Zhao, Junru Shan   +3 more
wiley   +1 more source