eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
IEEE

Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting

Abstract: Test-time domain adaptation adjusts a source domain model to accommodate previously unseen domain shifts in a target domain during inference. In real-world scenarios, domain shifts ...
Frontiers

The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
HackerNoon

Eliminating Data Latency with Event-Driven Pipelines at Enterprise Scale

How event-driven data pipelines reduce latency, automate schema changes, and improve reliability across large-scale data ...
realestatenews

Compass says its data shows benefits of ‘pre-marketing’ listings

Compass is providing an early look at research into the impact of "pre-marketing" listings through the brokerage's Private Exclusives and/or Coming Soon channels. What Compass found, according to a ...
IEEE

SnapCFL: A Pre-Clustering-Based Clustered Federated Learning Framework for Data and System Heterogeneities

Abstract: Federated Learning (FL) has emerged as a promising framework to address data privacy concerns associated with mobile devices, in contrast to conventional Machine Learning (ML). However, ...