A comprehensive developer guide to implementing secure authentication in modern applications. Covers OAuth 2.0, OIDC, ...

From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...

Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

Asynchronous multiplayer games offer deep strategy in short sessions, seamlessly fitting into busy lives. Games like Through the Ages, RAID: Shadow Legends, and The Battle of Polytopia excel in async ...

On March 3, the Center for Teaching, Learning, and Assessment launched an asynchronous AI in Teaching and Learning Institute. This modular course introduces instructors to strategies and pathways for ...

This repository documents my JavaScript learning progress, including notes, code snippets, and mini-projects. I cover fundamentals, advanced concepts, and real-world applications to strengthen my ...

LLMs enable interactions with external tools and data sources, such as weather APIs or calculators, through function calls, unlocking diverse applications like autonomous AI agents and neurosymbolic ...