Overview: Mobile application frameworks assist in faster development in a team using common code.Today, cross-platform tools support more than 40% of existing m ...

Many AI tasks require merging the power of a general LLM with some RAG (retrieval augmented generation) tool that can find the most relevant documents in a large collection. LlamaIndex.js is a ...

A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...

Online identity must shift from storing customer data to requesting verifiable proofs. zkTLS turns verification into a yes or no proof, not a document upload, which ties back to the goal of proof over ...

The Jewish Museum will open its newly reinstalled and reimagined collection galleries, along with an expansive new learning center, on October 24, 2025. The $14.5-million transformation—its most ...

In a clear reflection of the Federal Government’s commitment to protecting critical economic sectors, especially manufacturing, while maintaining an efficient revenue collection system, the Nigeria ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

The first decision to kick off a greenfield Java project usually sounds breezy: "Let's start with Spring Boot, it's everywhere." A few days in, someone mutters that Quarkus boots faster and saves ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...