Optical system achieves terabit-per-second capacity and integrates quantum cryptography for long-term security

The artificial intelligence (AI) boom has created unprecedented demand for data traffic. But the infrastructure needed to ...
Power Technology

Industry leader predicts all-flash data storage will power the next wave of AI

Yuan Yuan shares his perspectives on how data storage will play a critical role in powering the next generation of digital ...
CNET

Keep Your Memories Out of the Cloud: There's a Better Way to Store Photos and Videos

In 2015, Google Photos was the hero we all needed. They promised us free, unlimited storage for every photo and video, a digital Fort Knox for our memories. It was perfect: My entire life's photo ...

Oracle adds AI capabilities to core database and launches a lakehouse platform

Oracle also introduced Autonomous AI Lakehouse, a new platform that combines Oracle’s Autonomous AI Database with the open ...
TMCnet

CodexField Officially Announces Its Token Framework: Powering the Next Phase of Content and Model Financialization

These components collectively form the protocol foundation of CodexField, enabling the logic of "content as asset" to be ...
XDA Developers on MSN

SnapRAID for NAS: Protecting long-term storage data

SnapRAID offers unique benefits for safeguarding long-term storage data on NAS, including bit rot protection, energy efficiency, and more.
IEEE

HDDI: A Historical Data-Based Diffusion Imputation Method for High-Accuracy Recovery in Sparse Mobile Crowd Sensing with High Missing Rate and Long-Term Gap

Abstract: Mobile crowd sensing (MCS) has become a new paradigm for environment sensing. However, the sensing data often face the challenge of missing values, which can impact the performance of ...

Turning data into knowledge: How Huawei is upgrading storage for the AI era

Discover how Huawei’s AI-ready storage solutions, from data lakes to all-flash systems, are transforming raw data into ...
IEEE

Mixture of Experts for Depression and Anxiety Disorder Prediction From Textual and Non-Textual Social Media Data

Abstract: In Natural Language Processing (NLP) and related fields, computational models of mental health screening aim to detect early signs of mental health issues based on an individual’s behaviour ...