Results 131 to 140 of about 12,936,285 (295)

Social Physics, or the Interpretative Turn? Debating the Sciences of Society after AI

Sociologica
During the last few decades, new areas of research have emerged at the interface between the social sciences and computational sciences, such as computational social science and digital sociology.
Noortje Marres
doaj   +1 more source

Theory and Novel Applications of Machine Learning

, 2009
Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed.

core   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks

Scientific Reports
Theory of Mind is referred to the ability of inferring other’s mental states, and it plays a crucial role in social cognition and learning. Biological evidences indicate that complex circuits are involved in this ability, including the mirror neuron ...
Ashena Gorgan Mohammadi, Mohammad Ganjtabesh   +1 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Approximation theory, computing, and deep learning on the Wasserstein space

Mathematical Models and Methods in Applied Sciences
The challenge of approximating functions in infinite-dimensional spaces from finite samples is widely regarded as formidable. In this study, we delve into the challenging problem of the numerical approximation of Sobolev-smooth functions defined on probability spaces. Our particular focus centers on the Wasserstein distance function, which serves as a
Massimo Fornasier, Pascal Heid, Giacomo Enrico Sodini   +2 more
openaire   +2 more sources

Teaching structural analysis theory with Jupyter Notebooks [PDF]

The STEAM model combines the academic disciplines of Science, Technology, Engineering, Arts, and Mathematics (STEAM), forming a very relevant and increasingly fundamental educational approach within technologically advanced societies. Real‐world concepts
Arce Fariña, María Elena, Fernández Gavilanes, Milagros, Suarez Garcia, Andrés, Álvarez Hernández, María   +3 more
core   +1 more source

Leveraging Mechanical Resonances for the Selection of Promising Materials in Complex Phase Spaces

Advanced Materials Technologies, EarlyView.
A central challenge in materials science is the design of new functional materials with enhanced performance for targeted applications. This paper demonstrates that “listening” to materials through measuring their mechanical resonances is a rich, and largely untapped, platform for the rapid identification of promising novel compounds and a powerful ...
Christopher A. Mizzi, Osman El‐Atwani, Tannor T. J. Munroe, Saryu Fensin, Boris Maiorov   +4 more
wiley   +1 more source

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

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source