Results 71 to 80 of about 140,423 (144)

Proceedings 40th International Conference on Logic Programming [PDF]

EPTCS 416, 2025
Since the first conference In Marseille in 1982, the International Conference on Logic Programming (ICLP) has been the premier international event for presenting research in logic programming. These proceedings include technical communications about, and abstracts for presentations given at the 40th ICLP held October 14-17, in Dallas Texas, USA.
arxiv   +1 more source

Employee experience –the missing link for engaging employees: Insights from an MNE's AI‐based HR ecosystem

Human Resource Management, Volume 62, Issue 1, Page 97-115, January/February 2023., 2023
Abstract Analyzing multiple data sources from a global information technology (IT) consulting multinational enterprise (MNE), this research unpacks the configuration of a digitalized HR ecosystem of artificial intelligence(AI)‐assisted human resource management (HRM) applications and HR platforms.
Ashish Malik, Pawan Budhwar, Hrishi Mohan, Srikanth N. R.   +3 more
wiley   +1 more source

Total Synthesis of the Marine Diterpenoids Caucanolide E and F by Alkyne gem‐Hydrogenation: Rigorous Reassignment of Two Almost Indistinguishable Diastereomers

Angewandte Chemie, EarlyView.
The application of gem‐hydrogenation, which exploits the electrophilic character of the ruthenium carbene intermediates transiently formed, to natural product total synthesis allowed the stereostructure of a pair of diastereomeric seco‐cembranoids that are almost indistinguishable by NMR to be rigorously assigned.
Ricardo Molina Betancourt, Markus Leutzsch, Alois Fürstner   +2 more
wiley   +2 more sources

PrASP Report [PDF]

arXiv, 2016
This technical report describes the usage, syntax, semantics and core algorithms of the probabilistic inductive logic programming framework PrASP. PrASP is a research software which integrates non-monotonic reasoning based on Answer Set Programming (ASP), probabilistic inference and parameter learning.
arxiv  

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points‐based ACMG/AMP approach

Human Mutation, Volume 43, Issue 12, Page 1921-1944, December 2022., 2022
Abstract Skipping of BRCA2 exon 3 (∆E3) is a naturally occurring splicing event, complicating clinical classification of variants that may alter ∆E3 expression. This study used multiple evidence types to assess pathogenicity of 85 variants in/near BRCA2 exon 3.
Mads Thomassen, Romy L. S. Mesman, Thomas V. O. Hansen, Mireia Menendez, Maria Rossing, Ada Esteban‐Sánchez, Emma Tudini, Therese Törngren, Michael T. Parsons, Inge S. Pedersen, Soo H. Teo, Torben A. Kruse, Pål Møller, Åke Borg, Uffe B. Jensen, Lise L. Christensen, Christian F. Singer, Daniela Muhr, Marta Santamarina, Rita Brandao, Brage S. Andresen, Bing‐Jian Feng, Daffodil Canson, Marcy E. Richardson, Rachid Karam, Tina Pesaran, Holly LaDuca, Blair R. Conner, Nelly Abualkheir, Lily Hoang, Fabienne M. G. R. Calléja, Lesley Andrews, Paul A. James, Dave Bunyan, Amanda Hamblett, Paolo Radice, David E. Goldgar, Logan C. Walker, Christoph Engel, Kathleen B. M. Claes, Eva Macháčková, Diana Baralle, Alessandra Viel, Barbara Wappenschmidt, Conxi Lazaro, Ana Vega, ENIGMA Consortium, Maaike P. G. Vreeswijk, Miguel de la Hoya, Amanda B. Spurdle   +49 more
wiley   +1 more source

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

Advanced Intelligent Systems, EarlyView.
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie   +12 more
wiley   +1 more source

Energy‐Efficient Hardware Implementation of Spiking‐Restricted Boltzmann Machines Using Pseudo‐Synaptic Sampling

Advanced Intelligent Systems, EarlyView.
In this article, an energy‐efficient hardware implementation of spiking‐restricted Boltzmann machines using the pseudo‐synaptic sampling (PS2) method is presented. In the PS2 method, superior area and energy efficiency over previous approaches, such as the random walk method, are demonstrated, achieving a 94.94% reduction in power consumption during on‐
Hyunwoo Kim, Suyeon Jang, Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Akiyo Nomura, Kohji Hosokawa, Sungmin Lee, Matthew BrightSky, Sangbum Kim   +10 more
wiley   +1 more source

Diversifying agent's behaviors in interactive decision models

International Journal of Intelligent Systems, Volume 37, Issue 12, Page 12035-12056, December 2022., 2022
Abstract Modeling other agents' behaviors plays an important role in decision models for interactions among multiple agents. To optimize its own decisions, a subject agent needs to model what other agents act simultaneously in an uncertain environment.
Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming   +5 more
wiley   +1 more source

Design Strategies of Capacitor‐Based Synaptic Cell for High‐Efficiency Analog Neural Network Training

Advanced Intelligent Systems, EarlyView.
This work explores the three‐transistors‐one‐capacitor synaptic cell design for analog in‐memory computing, focusing on improving performance and scalability in deep neural network (DNN) training. By optimizing transistor characteristics and proposing a novel cell design, challenges such as large cell areas and retention issues are addressed.
Byoungwoo Lee, Wonjae Ji, Hyejin Kim, Seungmin Han, Geonwoong Park, Pyeongkang Hur, Gilsu Jeon, Hyung‐Min Lee, Yoonyoung Chung, Junwoo Son, Yong‐Young Noh, Seyoung Kim   +11 more
wiley   +1 more source