Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses ...

由对抗样本发现的神经网络敏感性（理论背景包括决策边界的不连续性等），正是可重编程性的基础。我们不再将这种敏感性仅视为安全缺陷，而是建设性地利用它，在不重新训练的情况下将预训练模型重定向到新的任务。精心设计的 program/prompt ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

The Federal Communications Commission gives out licenses to TV stations to broadcast over radio frequencies and approves major telecom and media deals. By Cecilia Kang Reporting from Washington ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...

Background: Biomarker discovery and drug response prediction are central to personalized medicine, driving demand for predictive models that also offer biological insights. Biologically informed ...