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MIT researchers teach AI models to learn from their own notes

Large language models already read, write, and answer questions with striking skill. They do this by training on vast ...
InfoWorld

All I want for Christmas is a server-side JavaScript framework

Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, ...
IEEE

Learn to Collaborate in MEC: An Adaptive Decentralized Federated Learning Framework

Abstract: Decentralized federated learning (DFL) has emerged as a conducive paradigm, facilitating a distributed privacy-preserving data collaboration mode in mobile edge computing (MEC) systems to ...
InfoWorld

Spring AI tutorial: Get started with Spring AI

Learn how to configure Spring AI to interact with large language models, support user-generated prompts, and connect with a ...
GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
cmu.edu

The Spring 2026 Catalog Is Now Available to View Online!

We are excited to announce that we will be offering classes in-person and online through Zoom for the Spring 2026 term! Registration is NOT OPEN for the Spring 2026 term! Please note: The Spring 2026 ...
IEEE

A Fairness-Guaranteed Framework for Semi-Asynchronous Federated Learning

Abstract: Federated Learning (FL) is a promising distributed machine learning framework that allows clients to collaboratively train a global model without data leakage. The synchronous FL suffers ...