WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
Abstract: Untrained neural network (UNN) has shown promising potential for solving inverse scattering problems (ISPs) with high flexibility and no need of training data. However, iterative ...
Dubbed “Boto-Cor-de-Rosa,” the new campaign includes the addition of a WhatsApp web-based worm that allows the malware to spread itself by using a victim’s WhatsApp contacts versus previous Astaroth ...
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 ...
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Neural network Python from scratch with softmax
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 ...
CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
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