Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

SourceSecurity.com and Hikvision have collaborated to release a new white paper examining how intelligent video encoding, ...

Abstract: Semantic Communication (SC) achieves meaning transmission instead of bitstreams by deep semantic encoding-decoding. Since the encoder-decoder contains sensitive and proprietary knowledge, ...

We propose ESSC-RM, a plug-and-play Enhancing framework for Semantic Scene Completion with a Refinement Module, which can be seamlessly integrated into existing semantic scene completion (SSC) models.

🤖 Semantic emoji encoder using LLMs to transform text into meaningful emoji sequences with grammar preservation and reversible decoding. UI-generated communication system inspired by Pantheon.

Abstract: Semantic segmentation using LiDAR is a fundamental aspect in perception for autonomous driving. Conventional training methodologies commonly employ one-hot encoding for labels, followed by a ...

If you want to improve the way Windows Search works on your computer, we recommend you use Semantic Search. It is a new feature introduced in Windows 11, allowing Windows to leverage AI to search ...

Propagation of light pulses with intermodal dispersion in MMF. Words are mapped to different frequencies (different colors), the optical pulses are stretched into different temporal dispersion curves.

The increasing demand for communication capacity presents significant challenges for conventional communication systems. Semantic communication, an emerging technology, emphasizes the transmission of ...