Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

Oracle’s aggressive AI-first infrastructure expansion underpins OpenAI’s Stargate vision, transforming cloud into a core national-scale compute and energy resource. This $300 billion investment ...

Abstract: This paper presents a rolling horizon-based energy exchange in a building-to-building (B2B) grid using a game theory method. The system combines the predictive capability of long-short-term ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.