Results 101 to 110 of about 1,077,147 (256)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Towards an auditory representation of complexity

open access: yes, 2005
Presented at the 11th International Conference on Auditory Display (ICAD2005)Presented at the 11th International Conference on Auditory Display (ICAD2005)In applications of sonification, the information inferred by the sonification strategy applied often
Gossmann, Joachim
core  

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

Tools for auditory display research

open access: yes, 2000
Presented of the 6th International Conference on Auditory Display (ICAD), Atlanta, GA, April 2-5, 2000Presented at the 6th International Conference on Auditory Display (ICAD), Atlanta, GA, April 2-5, 2008TDT will demonstrate its Power sDAC Convolver and ...
Wilson, Wilard   +2 more
core  

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

Internet-Based Interactive Auditory Virtual Environment Generators

open access: yes, 2008
Presented at the 14th International Conference on Auditory Display (ICAD2008) on June 24-27, 2008 in Paris, France.Presented at the 14th International Conference on Auditory Display (ICAD2008) on June 24-27, 2008 in Paris, France.In this paper we ...
Silzle, Andreas   +2 more
core   +1 more source

Functionalized Biomimetic Scaffolds for Human‐Derived Auditory Neural Circuit Construction

open access: yesAdvanced Science, EarlyView.
In Vitro Auditory Circuit Model. ABSTRACT Damage to auditory circuits results in sensorineural hearing loss. However, the scarcity of human inner ear tissue significantly hinders the development of therapies to preserve auditory function, creating a critical need for reliable in vitro models.
Pan Feng   +12 more
wiley   +1 more source

Auditory displays on the depth of hypertext

open access: yes, 2003
Proceedings of the 9th International Conference on Auditory Display (ICAD), Boston, MA, July 7-9, 2003.Presented at the 9th International Conference on Auditory Display (ICAD), Boston, MA, July 7-9, 2003.This study presents an overview of work on the ...
Lee, Ju-Hwan   +2 more
core   +1 more source

Parameters for auditory display of height and size

open access: yes, 2003
Proceedings of the 9th International Conference on Auditory Display (ICAD), Boston, MA, July 7-9, 2003.Presented at the 9th International Conference on Auditory Display (ICAD), Boston, MA, July 7-9, 2003.The vertical localization, and vertical and ...
Tilley, Steven, Cabrera, Densil
core   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

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