为了解决这个问题，研究团队开发了ML-Master 2.0系统，这是一个能够进行超长时间自主学习的AI agent。他们将这个挑战称为"超长时间自主性"问题，指的是AI系统需要在长达数天或数周的时间内保持战略一致性和迭代修正能力，而不被执行细节所困扰 ...

TL;DR: While most third-party generative AI services focus on remotely managed models and cloud infrastructure, platform holders are moving quickly to bring AI directly to local machines. Microsoft is ...

Bittensor’s subnet architecture is a highly compatible place to deploy collective intelligence. Therefore, mining on revenue generating Bittensor subnets is a natural fit for the Crunch community.

The special issue aims to bring together high-quality research that demonstrates the transformative role of Artificial Intelligence and Machine Learning ...