Abstract: The vulnerability of synthetic aperture radar (SAR)—automatic target recognition (ATR) models based on deep neural networks has garnered increasing attention in recent research. A novel and ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware ...

This repository has been consolidated into model-runner. All future development, issues, and pull requests should be directed there. Please visit the new repository for the latest updates and to ...

Rule of 72, 114, and 144 for investment growth, Rule of 70 for inflation, 110 Rule for asset allocation, and 3-6 Rule for ...

Dr Reyaz Ahmad                  Math fluency is no longer just about speed in mental calculations or rote memorisation of ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Turn and talk with sentence stems: Give sentence starters at multiple levels: “Multiplication is…” for some students, and ...

Solving vector operations step-by-step! ➡️📐 In this video, we break down how to perform vector operations, such as addition, subtraction, and scalar multiplication, with real-world physics examples.

Abstract: Deep code models are vulnerable to adversarial attacks, making it possible for semantically identical inputs to trigger different responses. Current black-box attack methods typically ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...