Tech Times

Open-Source World Model AlayaWorld Sustains Interactive Play Past the One-Minute Mark

Open-source world model AlayaWorld, released by China’s Shanda AI Research in July 2026, sustains interactive video ...
The Silicon Review

SCWORX Announces Deployment of AI-Assisted Data Management Model for Healthcare Supply Chain Data: Can AI Finally Fix Healthcare's Multi-Billion-Dollar Da…

SCWorx deploys AI-assisted data management to clean and enrich healthcare supply chain data, reducing errors, waste, and ...

SCWORX ANNOUNCES DEPLOYMENT OF AI-ASSISTED DATA MANAGEMENT MODEL FOR HEALTHCARE SUPPLY CHAIN DATA ATTRIBUTES

SCWorx Corp., a provider of healthcare supply chain data management, interoperability and analytics solutions, today announced the deployment of its Artificial Intelligence assisted Data Management ...

Lumentum: The Market Is Counting Lasers While The Business Model Changes Underneath It

Lumentum is evolving from a component supplier to a full system provider, moving up the optical stack and expanding its value ...

Why The 'Last Mile' Of AI In Finance Is An Infrastructure Problem, Not A Model Problem

Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ...

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 ...
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 ...
IEEE

Data Generation Approach Based on Data Model Fusion: An Application for Rolling Bearings Fault Diagnosis With Small Samples

Abstract: Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with ...