Abstract: Federated learning (FL) enables the collaborative training of deep neural networks across decentralized data archives (i.e., clients) without sharing the local data of the clients. Most of ...

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 ...

Abstract: Cutting-edge robot learning techniques including foundation models and imitation learning from humans all pose huge demands on large-scale and high-quality datasets which constitute one of ...

After their most recent cooperative education (co-op) experience, two Drexel University students will never experience museums in the same way — or books, chemistry, paper, light bulbs or Disney World ...

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 ...

Andrej Karpathy says that reinforcement learning is still terrible but better than all other AI learning approaches. Elon Musk believes there is a 10% chance that XAI Grok 5 can achieve AGI. Musk ...

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 Java-based CLI application is implemented using Collection Framework that manages inventory details such as products, quantities, and prices. This version uses Collection Framework to store and ...