Results 121 to 130 of about 360,910 (329)

Review for "The effect of an artificial agent's vocal expressiveness on immediacy and learning"

, 2021

openalex   +2 more sources

Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network

, 2015
Audio source separation is a difficult machine learning problem and performance is measured by comparing extracted signals with the component source signals.
Plumbley, Mark D., Roma, Gerard, Simpson, Andrew J. R   +2 more
core  

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source

Finding the beat: From socially coordinated vocalizations in songbirds to rhythmic entrainment in humans.

Frontiers in Human Neuroscience, 2016
Humans and oscine songbirds share the rare capacity for vocal learning. Songbirds have the ability to acquire songs and calls of various rhythms through imitation. In several species, birds can even coordinate the timing of their vocalizations with other
Jonathan Isaac Benichov, Eitan eGloberson, Eitan eGloberson, Ofer eTchernichovski   +3 more
doaj   +1 more source

An underlying motor bias shapes individuality during vocal learning [PDF]

, 2023
Noriyuki Toji, Azusa Sawai, Hongdi Wang, Yu Ji, Rintaro Sugioka, Yasuhiro Go, Kazuhiro Wada   +6 more
openalex   +1 more source

Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture

Advanced Science, EarlyView.
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang, Gan Miao, Xueyu Zhang, Zhao Shu, Dawei Lu, Yujie Song, Shanfa Yu, Qian Liu, Yang Song, Rong Zhang, Xiaoting Jin, Yuxin Zheng   +11 more
wiley   +1 more source

AI‐Assisted Bioelectronics for Personalized Health Management

Advanced Electronic Materials, EarlyView.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng   +6 more
wiley   +1 more source

Maternal in‐nest call structure reduces habituation risk in songbird embryos

Journal of Avian Biology
Repetition of the same vocal stimulus during vocal learning may result in habituation. Therefore, selection may favor vocal tutors that produce vocal stimuli with characteristics that reduce the risk of habituation.
Victoria I. Austin, Lauren K. Common, Diane Colombelli‐Négrel, Sonia Kleindorfer   +3 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kimh, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Brittany Bernal - Sensorimotor Adaptation of Speech Through a Virtually Shortened Vocal Tract [PDF]

, 2014
The broad objective of this line of research is to understand how auditory feedback manipulations may be used to elicit involuntary changes in speech articulation.
Bernal, Brittany A.
core   +1 more source