Results 101 to 110 of about 281,784 (308)
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen +3 more
wiley +1 more source
A comparative evaluation of deep and shallow approaches to the automatic detection of common grammatical errors [PDF]
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses the XLE LFG parser and English grammar: two versions are presented, one ...
Foster, Jennifer +2 more
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
REPRESENTATION OF THE MORPHEMIC COMPOSITION OF THE VERBAL WORD FOR LINGUODIDACTIC PURPOSES
The article deals with a number of issues related to the morphology of the Russian verb. The research was performed according to the "objective grammar" of the Russian language in the framework of the Functional-Communicative Grammar (M.V.
I. I. Akimova
doaj +1 more source
Electronic Structure Reorganization in MPS3 via d‐Shell‐Selective Alkali Metal Doping
Alkali metal doping of layered MPS3 antiferromagnets reveals d‐shell‐selective responses. While MnPS3 resists charge transfer due to its half‐filled 3d5 shell, FePS3 and NiPS3 behave similarly to CoPS3 by accommodating extra d‐electrons. Yet only CoPS3, with its least stable d‐shell, undergoes pronounced band restructuring and a semiconducting‐to ...
Jonah Elias Nitschke +12 more
wiley +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Perceptual tuning influences rule generalization: Testing humans with monkey-tailored stimuli
Comparative research investigating how nonhuman animals generalize patterns of auditory stimuli often uses sequences of human speech syllables and reports limited generalization abilities in animals.
Filippi, P., Fitch, W., Ravignani, A.
core +1 more source
The functional schematic diagram of tumor associated neutrophils. Abstract Enhancing cervical cancer (CC) immunotherapy requires deciphering the heterogeneous tumor immune microenvironment (TIME), particularly neutrophil phenotypic dynamics. Here, 1) we collected 543 CC cases to find that patients with elevated neutrophil levels have a higher incidence
Xingyu Chang +7 more
wiley +1 more source
Propuesta crítica para una nueva edición de la Nouvelle methode pour apprendre facilement et en peu de temps la lange espagnole de Claude Lancelot (1660) [PDF]
This paper is a proposal for a critical edition of Nouvelle Methode of the Spanish language, by Claude Lancelot (1660), which takes into account the publishing history of the text and the grammaticographical activity of its author.
Alejandro Díaz Villalba +1 more
doaj
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source

