The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s how it works.

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Phase retrieval algorithms are known to be sensitive to the seed, i.e., the initial phase approximation at the antenna aperture. An example where this seed can be critical is while considering an ...

This repository contains my implementation of the Hybrid Input-Output (HIO) algorithm for phase retrieval — recovering phase information from Fourier magnitude data, a key problem in computational ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

SELFPHISH is a flexible data reconstruction framework that harnesses self-supervised, physics-informed generative networks. Unlike traditional methods that rely on complex algorithms, SELFPHISH ...

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS Complex modulation of optical fields (i.e., the control of light’s amplitude and phase) is vital to the ...

From private information retrieval to federated learning, new approaches to securing information are not only resulting in practical data security solutions but also ways of rethinking data ...

Bristol, London and Washington, D.C, 26 March 2025: Quantum algorithms company Phasecraft said it has developed a novel approach to quantum simulation that improves efficiency while cutting ...