Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...
IEEE

Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

Abstract: Amid the global rollout of fifth-generation (5G) services, researchers in academia, industry, and national laboratories have been developing proposals for the sixth-generation (6G), whose ...
IEEE

Data Sourcing Random Access Using Semantic Queries for Massive IoT Scenarios

Abstract: Efficiently retrieving relevant data from massive Internet of Things (IoT) networks is essential for downstream tasks such as machine learning. This paper addresses this challenge by ...
InfoQ

Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an ...