In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

More than 200,000 nurses and patients have signed a petition calling on the Department of Education to modify the policy.

Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

A comprehensive machine learning project for classifying images of fruits and vegetables using Convolutional Neural Networks (CNNs). This project includes both a training pipeline and a web ...

Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...

Anthropic updated its AI training policy. Users can now opt in to having their chats used for training. This deviates from Anthropic's previous stance. Anthropic has become a leading AI lab, with one ...

1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...

The coral-reef-training AWS S3 bucket provides a single, open, well-structured, growing, community-sourced repository of coral reef image classification training data. Hosted at ...