"High-end desktops shouldn't have to feel excessive just to be fast," said Harjit Chana, Founder at Digital Storm. "With Vector and Aventum 5, we wanted to show that you can push hardware to its ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Researchers have developed a fiber neural network system that performs intelligent processing of optical communication signals directly in the light domain. This approach integrates optical ...

Automated video advertisement content analysis system using Sentence Transformers and cosine similarity for yes/no question evaluation. Features text embedding with all-mpnet-base-v2, batch processing ...

In 2025, enterprise data platforms support business operations by combining analytics, governance and orchestration in one system, increasingly with generative and agentic AI-enabled features to ...

Demand for adeno-associated viral (AAV) vectors is increasing as more and more cell and gene therapy firms use them to make products. In response, vector suppliers are embracing faster, more efficient ...

The geospatial industry is undergoing a transformation as GIS software integrates cloud computing and artificial intelligence (AI) to enhance data processing, visualization, and analysis. Blue Marble ...

This article outlines and defines various practices used across the RAG pipeline—full-text search, vector search, chunking, hybrid search, query rewriting, and re-ranking. What is full-text search?