Results 81 to 90 of about 478,328 (290)

Towards Analyzing Semantic Robustness of Deep Neural Networks

, 2019
Despite the impressive performance of Deep Neural Networks (DNNs) on various vision tasks, they still exhibit erroneous high sensitivity toward semantic primitives (e.g. object pose). We propose a theoretically grounded analysis for DNN robustness in the
A Fawzi, AH Stroud, AN Bhagoji, CM Bishop, G An, RG Ródenas, T Dreossi, Y Grandvalet   +7 more
core   +1 more source

Open Semantic Service Networks: Modeling and Analysis [PDF]

, 2013
A new interesting research area is the representation and analysis of the networked economy using Open Semantic Service Networks (OSSN). OSSN are represented using the service description language USDL to model nodes and using the service relationship model OSSR to model edges.
Cardoso, J., Pedrinaci, C., De Leenheer, P.G.M.   +2 more
openaire   +2 more sources

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

The domain-general and domain-specific role of the semantic neural network in mathematical processing

NeuroImage
The role of the visuospatial network in mathematical processing has been established, but the role of the semantic network in mathematical processing remains poorly understood.
Mengyi Li, Xinlin Zhou
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Functional connectivity in distributed cortical networks associated with semantic processing in healthy older adults

Frontiers in Aging Neuroscience
ObjectiveWhile word knowledge is typically well-preserved in aging, declines in executive control often observed in older adults may impact access and application of this knowledge.
Kailey G. Langer, Kailey G. Langer, Alexandria G. O’Neal, Alexandria G. O’Neal, Amanda Garcia, Alexa Chen, Eric C. Porges, Eric C. Porges, John B. Williamson, John B. Williamson, John B. Williamson, Adam J. Woods, Adam J. Woods, Ronald A. Cohen, Ronald A. Cohen   +14 more
doaj   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Differences in spatiotemporal dynamics for processing specific semantic categories: An EEG study

Scientific Reports
Semantic processing is an essential mechanism in human language comprehension and has profound implications for speech brain-computer interface technologies. Despite recent advances in brain imaging techniques and data analysis algorithms, the mechanisms
Trang Thi Le, Do Anh Quan Luong, Hyosung Joo, Dongseok Kim, Jihwan Woo   +4 more
doaj   +1 more source

The Evolution of Wikipedia's Norm Network

, 2016
Social norms have traditionally been difficult to quantify. In any particular society, their sheer number and complex interdependencies often limit a system-level analysis.
DeDeo, Simon, Heaberlin, Bradi
core   +2 more sources

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source