Routine' network updates aren't low-risk; modern systems are so interconnected that a tiny tweak can break hidden ...
Vector search underpins most retrieval-augmented generation (RAG) pipelines. At scale, it gets expensive. Storing 10 million document embeddings in float32 consumes 31 GB of RAM. For dev teams running ...
Neighborly is a versatile open-source vector database built with C#, designed to efficiently store and retrieve high-dimensional vector data. It offers two flexible deployment options: a gRPC API in a ...
Abstract: RISC-V CPUs leverage the RVV (RISC-V Vector) extension to accelerate data-parallel workloads. In addition to arithmetic operations, RVV includes powerful permutation instructions that enable ...
The increasing demand for lentiviral vectors (LVs) has led to the development of several stable cell lines and production methods over the last 2 decades in order to increase titers and yields, reduce ...
Amid a reckoning for the gene therapy field, Vertex Pharmaceuticals has joined a growing list of companies paring back their research efforts around the adeno-associated virus (AAV) vectors used to ...
Guided by standardized production and purification platforms, developers of monoclonal antibodies (mAbs) and other recombinant-protein therapeutics can take a relatively straightforward path when ...
In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...
Abstract: We propose the Cluster-Guided Two-Stage Inference Network (CGTI-Net), a deep-learning-based object detection network for high-resolution aerial images. The network consists of an optimized ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results