Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Abstract: The rapid expansion of e-commerce platforms and online fashion markets, there is an increasing demand for intelligent systems that can accurately identify and classify fashion items from ...

February 2026 TIOBE Index shows Python still far ahead, C strengthening in second, C# rising, and R holding the top 10 as rankings compress.

By Atharva Agrawal Growing up in the Tiger Capital of India, Nagpur, a city surrounded by some of the country’s most eminent ...

Abstract: As the automotive industry seeks to enhance environmental sustainability, predicting vehicle fuel efficiency has become crucial. This project aims to develop a deep learning model using ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

AI Center of Excellence for its Bangalore office. This role focuses on designing, developing, and deploying cloud-based ...

The first Linux Docker container fully tested and optimized for NVIDIA RTX 5090 and RTX 5060 Blackwell GPUs, providing native support for both PyTorch and TensorFlow with CUDA 12.8. Run machine ...

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...