IEEE

A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes

Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...

‘Learn to code’ is dead. So what the heck should you actually teach your kids in the age of AI?

Holly Baxter asks tech experts what students should actually study, now ‘learn to code’ is dead — and gets some surprising ...

I took Harvard's free online coding classes to better catch AI's errors - and they're legit

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
Learn With Jay on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
TechCrunch

OpenAI continues on its ‘code red’ warpath with new image generation model

OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...
IEEE

Evolutionary Neural Architecture Search for Remote Sensing Image Classification

Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional neural network (CNN)-based methods ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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GitHub

MoGe: Accurate Monocular Geometry Estimation

Released MoGe-2, a state-of-the-art model for monocular geometry, with these new capabilities in one unified model: Note: MoGe should be compatible with most ...