News

A key type of AI training data is running out. Googlers have a bold new idea to fix that.

Google DeepMind researchers have a new way to take toxic data and clean it for AI training. It could prove to be a powerful ...
diginomica

Forget AI data readiness - it's about the architecture. K2view's CTO on MCP, context, and how to get enterprise AI results

We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is ...

Your AI Will Fail Without Data Literacy—What It Means And Why It Matters

The people closest to the data know the truth: messy, incomplete or poorly governed data cannot support effective AI. Yet ...
Frontiers

Advanced Computational Approaches For Data And Model Integration In Bioinformatic and Biomedical Research

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms ...
India Today

Nano Banana AI guide: Step-by-step tutorial to make 3D figurines with Google AI

A new AI trend has taken the internet by storm. You can now use Google’s Gemini 2.5 Flash ‘Nano Banana’ engine to create 3D ...

Recommended Building Design Software for 2025: A Guide to 3D Modeling Tools Covering CAD Software and BIM Design

Integrated Schedule Management Solution Introduction: Glodon Digital Design is a domestic 3D design platform aimed at the construction industry, with its core advantage being the deep integration of ...

Q&A: Tal Melenboim on AI’s missing piece: clean, licensed data

Tal Melenboim, the visionary behind VFR.ai and StyleTech.ai, champions the cause of high-quality data as the cornerstone of ...
IEEE

Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling

Abstract: Industrial streaming data exhibits the concept drift characteristic due to the time-variant operating conditions, which degrades the performance of models established by traditional offline ...
IEEE

Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences

Abstract: For industrial processes, it is significant to carry out the dynamic modeling of data series for quality prediction. However, there are often different sampling rates between the input and ...