Abstract: One of the essential processes in Mobile Ad hoc Networks (MANETs) is blind flooding to discover routes between source and destination mobile nodes. As the density of nodes in the network ...

Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...

Abstract: The distance vector hop algorithm is commonly used for sensor node localization. However, its high localization accuracy error and stability issues make it ...

Solana-based perpetual futures exchange Drift Protocol fell victim to a large-scale security breach on April 1, 2026. On-chain monitoring firms reported that attackers siphoned roughly $285 million in ...

Artificial intelligence did not become practical at scale because of models alone. It became practical because the data layer evolved to match how machines reason. Traditional databases were built for ...

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 ...

One of the key components of Microsoft’s Copilot Runtime edge AI development platform for Windows is a new vector search technology, DiskANN (Disk Accelerated Nearest Neighbors). Building on a ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Whether we’re using Spotify, Amazon, Netflix or Instagram, we encounter algorithms that recommend content or products to us every day. In 2017 Netflix stated that its users discover around 80 percent ...

Modern data search is a complex domain. Vector similarity search, or VSS, represents data with contextual depth and returns more relevant information to the consumers in response to a search query.