From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Transgene Publishes Phase I Data Supporting TG4050’s Potential in Preventing Head and Neck Cancer Relapse

TG4050 elicits strong polyepitopic, polyclonal, durable cytotoxic and effector neoantigen-specific CD8 T cell responses Results reinforce TG4050 ...
Scientific Research PublishingOpinion

Evolution of GIS: Learning from the Past—Looking to the Future ()

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...
Morningstar

Milvus Surpasses 40,000 GitHub Stars, Reinforcing Leadership in Open-Source Vector Databases

As Gartner Predicts Vector Databases Will Be Used in 30% of Enterprise Applications by 2026, Milvus Reaches Major Milestone with 10,000+ Production Deployments REDWOOD CITY, Calif., Dec. 18, 2025 ...
VentureBeat

From shiny object to sober reality: The vector database story, two years later

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...
Frontiers

Assessing the learning potential of freshmen in labor education courses using ordinal features and support vector machine

Introduction: Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an indispensable tool. Despite its widespread adoption, its ...
dbta

Qdrant Becomes the Only Managed Vector Database to Offer Multimodal Inference, Accelerating Real-Time AI

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...
labs.sogeti

THE VECTOR REVOLUTION: HOW EMBEDDINGS CHANGED MACHINE LEARNING

In today’s world dominated by artificial intelligence, terms like transformers, LLMs (large language models), and embeddings are everywhere. While many are familiar with models like ChatGPT, few truly ...
InfoWorld

AWS looks to cut storage costs for LLM embeddings with Amazon S3 Vectors

AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, and querying vectors by up to 90% compared to using a vector database, a ...
dbta

Open Source Vector Database Milvus Radically Reduces Costs and Complexities with Latest Update

Zilliz, the company behind the open-source vector database Milvus, is unveiling Milvus 2.6, the latest iteration of its database technology designed to accommodate the modern demands of AI workloads ...
Visual Studio Magazine

Empowering AI Applications with Vector Search in SQL Server and Azure Cosmos DB

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...
istockphoto

Man with laptop computer looking at rack servers. Concept of big data analysis, statistical research, hardware for information storage, archive or database. Modern flat vector ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...