GATE data science & AI important questions 2026

GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...
The Royal Gazette

One in five insurers failing data-classification rules, BMA warns

One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory requirement under the Bermuda Monetary Authority’s cyber-risk framework, ...
Scientific Research Publishing

Kong, Y. H., & Jing, M. L. (2012). Research on Classification Method Based on Confusion Matrix and Ensemble Learning. Computer Engineering & Science, 34, 111-117. (In Chinese)

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
The Conversation

‘Simulation theory’ brings an AI twist out of ‘The Matrix’ to ideas mystics and religious scholars have voiced for centuries

Rizwan Virk owns shares in Google, and in various video game companies. He is also a venture partner in Griffin Gaming Partners, a venture capital fund dedicated to investing in video game-related ...
Business Wire

SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center

SANTA CLARA, Calif.--(BUSINESS WIRE)--Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products ...
collider

Plug Into ‘The Matrix’ at NYCC and Meet the Cast [Exclusive]

The Matrix captivated audiences when it was released in 1999. Was our own reality real, or were we all just plugged into this world without any knowledge of it? Would you choose the red pill or the ...
IEEE

FMCNN: Raw-Data Type Identification Using Feature Matrix and CNN

Abstract: This paper introduces FMCNN, a novel classification method that combines a two-dimensional feature matrix capturing raw data characteristics with a CNN-based classifier. Raw data are the ...
TechRepublic

The Unstructured Data Mandate for AI Success

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.
Scientific Research Publishing

Amin, F. and Mahmoud, M. (2022) Confusion Matrix in Binary Classification Problems: A Step-by-Step Tutorial. Journal of Engineering Research, 6, Article No. 1.

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Frontiers

Enhancing public transportation through user feedback: the case of Braamfontein, Johannesburg

Globally, transportation systems are under pressure to adopt and ensure more sustainable, inclusive, and efficient systems as cities become more complex and connected. Consequently, in the quest to ...
Frontiers

A hierarchical multi-class classification system for face and text datasets

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...