Humans learn by breaking through and plateauing, persisting and resting, and, occasionally, experiencing the blissful flow state. Mastering a skill can take decades, but the learning process unfolds ...

The latest release enables check-ins with learners, comparison across training methods, and real-time program improvements—seamlessly closing the feedback loop for corporate learning.

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure, or to Replicate. 🤬️ ...

The research team tested CaMeL against the AgentDojo benchmark, a suite of tasks and adversarial attacks that simulate ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

To solve this problem, this paper introduces a framework that combines Key area extraction with Discriminative Feature Transfer Learning (KDFTL). First, to meticulously extract the core area of the ...