Artificial intelligence has just redrawn the map of our genome’s control room, revealing hundreds of thousands of tiny DNA ...

Artificial intelligence is no longer a distant abstraction for central bankers. It is starting to shape the data they see, ...

To improve search and recommendation user experiences, Uber migrated from Apache Lucene to Amazon OpenSearch to support large-scale vector search and better capture search intent. This transition ...

Abstract: Deep neural networks (DNNs) with fully homomorphic encryption (FHE) are gaining traction in Internet of Things (IoT) applications requiring robust protection of data inference and model ...

Abstract: Federated Graph learning (FGL) for networked system data enables collaborative model training without sharing raw data, but it also introduces severe privacy risks. Model inversion attacks ...

Current aggregateorders valued at approximately $1.9 million to dateOSS now expects cumulative follow-on production orders ofmore than ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using ...

Rock-paper-scissors is usually a game of psychology, reverse psychology, reverse-reverse psychology, and chance. But what if ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

This repository presents Reinforcement Learning Guidance (RLG), an innovative inference-time method designed to enhance and control the alignment of diffusion models. RLG builds upon the widely used ...