eLife

Arrayed single-gene perturbations identify drivers of human anterior neural tube closure

A method for arrayed CRISPRi screening in organoids enables the investigation of morphogenesis in human stem cell-derived tissues, revealing the roles of ZIC2, SOX11, and ZNF521 in neural tube closure ...
The Robot Report

Context is king: How Avride uses cloud VLMs as a safety net for delivery robots

It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...
IEEE

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder With Input Convex Neural Networks

Abstract: In neural architecture search (NAS) methods based on latent space optimization (LSO), a deep generative model is trained to embed discrete neural architectures into a continuous latent space ...
Frontiers

Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm

Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...
Scientific Research Publishing

Song, H., Gao, Y., Chen, W., Xue, Y., Zhang, H. and Zhang, X. (2020) Seismic Random Noise Suppression Using Deep Convolutional Autoencoder Neural Network. Journal of Applied ...

ABSTRACT: With the deepening of oil and gas exploration, the exploration targets have gradually shifted from structural oil and gas reservoirs to lithological oil and gas reservoirs. The fluvial ...
IEEE

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
Cancer Research

American Association for Cancer Research

Single cell technology measures multi-dimensional molecules at cellular resolution in cancer biology with challenges of low coverage and cell annotation. The inherent heterogeneity and complexity of ...
Scientific Research Publishing

Dachapally, P.R. (2017) Facial Emotion Detection Using Convolutional Neural Networks and Representational Autoencoder Units. arXiv: 1706.01509.

ABSTRACT: In this paper, we propose an additional layer of security to the authentication system of a VoIP network through the integration of facial emotion detection technology. The proposed system ...