Results 41 to 50 of about 329,541 (261)
This work introduces an open‐source all‐optical platform for functional phenotyping of human stem cell‐derived neurons. The system integrates optogenetics, calcium imaging, automated acquisition, and analysis to resolve single‐cell and network activity, enabling longitudinal measurements, disease modeling, and pharmacological screening in preclinical ...
Wardiya Afshar‐Saber +12 more
wiley +1 more source
A Perspective on Interactive Theorem Provers in Physics
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley +1 more source
Using large language models to accelerate communication for eye gaze typing users with ALS
Accelerating text input in augmentative and alternative communication (AAC) is a long-standing area of research with bearings on the quality of life in individuals with profound motor impairments.
Shanqing Cai +15 more
doaj +1 more source
Bridging the Privacy Accounting Gap in DP-SGD
Differentially Private Stochastic Gradient Descent (DP-SGD) is one of the most widely used algorithms for private machine learning. Due to its efficiency, most practical implementations of DP-SGD shuffle the training examples and divide them into fixed ...
Lynn Chua +8 more
doaj +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Gomes et al. develop machine learning models for gestational age and fetal malpresentation assessment on fetal ultrasound. The authors optimize their system for use in low-resource settings, using novice ultrasound operators, simplified imaging protocols,
Ryan G. Gomes +29 more
doaj +1 more source
Genetic Diagnosis and Discovery Enabled by Large Language Models
We demonstrate that large language models (LLMs) can facilitate genetic diagnosis and discovery. LLMs were used to solve four types of genetic problems of sequentially increased complexity. An LLM‐based pipeline could analyze genetic variants in the genomic sequences of human hearing loss or rare genetic disease patients and assist in identifying ...
Tao Tu +25 more
wiley +1 more source
Learnable Diffusion Framework for Mouse V1 Neural Decoding
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Computational multiqubit tunnelling in programmable quantum annealers
Quantum tunnelling may be advantageous for quantum annealing, but multiqubit tunnelling has not yet been observed or characterized theoretically.
Sergio Boixo +9 more
doaj +1 more source
Deformation Driven Suction Cups: A Mechanics‐Based Approach to Wearable Electronics
Deformation‐driven suction cups enable robust, reversible adhesion of wearable electronics to human skin spanning wide mechanical compliance, without adhesives or tight straps. By integrating mechanics modeling, experiments, and contact mechanics theory, this work reveals how cup geometry, substrate compliance, and interfacial adhesion govern suction ...
Seola Lee +10 more
wiley +1 more source

