Results 201 to 210 of about 5,451,620 (296)

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

Data-driven reduced modeling of neural dynamics. [PDF]

Nat Commun
Marraffa A, Krause R, Mante V, Haller G.
europepmc   +1 more source

Design Principles for Light‐Scattering Reservoir Computing at the Edge of Chaos

Advanced Computing, Volume 1, Issue 1, December 2026.
Here we realize a light‐scattering reservoir computer operating with measurement‐modulation feedback, physically tunable in three axes—reservoir dynamics, input‐reservoir coupling, and reservoir interconnectivity. Sweeping each axis, we locate the axis‐specific optimum of memory capacity; the dynamic axis displays the sharpest optimum.
Geon Kim, YongKeun Park
wiley   +1 more source

Selective perturbation of mirror and non-mirror neurons in an in silico model of the action observation network. [PDF]

iScience
Guglielmi L, Albertini D, Vezzani A, Burioni R, Bonini L.   +4 more
europepmc   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

A hybrid deep learning and quantum computing framework enhances cybersecurity threat detection and analysis. [PDF]

Sci Rep
Abdel-Aty AH, Farsi M, Hafez M, Voon BW.
europepmc   +1 more source

Regression Model for a Sensor‐Integrating Jaw Coupling—Compensation for the Viscoelastic Material Behavior

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT In recent years, there has been an increasing demand to digitize production processes. In order to obtain the necessary data for these processes, numerous sensors must be installed on or in the machines. This can be difficult, especially when done retroactively, as the existing installation space must be able to accommodate the sensors.
Johannes D.M. Menning, Arthur Ewert, Artem Prokopchuk, Berthold Schlecht, E.‐F. Markus Vorrath, Thomas Wallmersperger   +5 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

A context-free model of savings in motor learning. [PDF]

Elife
Shahbazi M, Codol O, Michaels JA, Gribble PL.   +3 more
europepmc   +1 more source

TEAM: A time‐enhanced attention‐based model for virus mutation prediction

Quantitative Biology, Volume 14, Issue 4, December 2026.
Abstract The evolution of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) during the coronavirus disease 2019 (COVID‐19) pandemic highlights the critical need for predicting virus mutations in order to stay ahead of infectious diseases. Here, we present the time‐enhanced attention‐based model (TEAM), which combines phylogenetic sampling ...
Jie Ji, Jie Hu, Tianwei Yu, Xiaodan Fan
wiley   +1 more source