EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when ...

Educators and researchers around the world, especially in countries with limited resources, need cost-effective, scalable ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).

Contemporary academic institutions face many challenges when planning new technology or applications like hybrid learning. Overcoming resistance to change and fostering an environment that embraces ...

Physical learning environments (PLEs)—including classrooms, schools, and networks of facilities—play a critical role in shaping educational outcomes. The World Bank’s RIGHT+ framework offers guidance ...

In an X-note, Awni Hannun, of Apple’s ML team, calls the software: “…an efficient machine learning framework specifically designed for Apple silicon (i.e. your laptop!)” The idea is that it ...

The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...

The Open Group Architecture Framework (TOGAF) is an enterprise architecture framework that helps define business goals and ...

Help your students bridge the gap between classroom theory and real-world practice by giving them ownership of the experience ...