The black-box era of AI development is over. Deep learning had a great run in the decade from 2010 to 2020. End-to-end deep learning networks, the technology that catapulted image classification ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

AI and graphs have a few things in common: they are multi-faceted, ubiquitous in their applications, and seeing rapid growth in the 2020s. 2022 technology trend review, part two: AI and graphs | ZDNET ...

While this vision of the semantic web took time to materialize, Google’s knowledge graph made it practical, setting the stage for the development of sophisticated AI systems that could reason ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

LangGraph AI Agent Development Key Takeaways : LangGraph is a tool compatible with LangChain V2, designed to develop advanced AI agents, particularly research agents.

Unlike conventional AI models, which rely solely on vast amounts of preloaded training data, Diffbot’s LLM draws on real-time information from the company’s Knowledge Graph, a constantly ...

A pilot program to use artificial intelligence to improve Nashville's water management system with an early warning system ...

An essential component for building more trustworthy AI lies in creating a more solid data foundation on top of graph databases, knowledge graphs, and vector databases. Each element plays a ...

Docker Inc., a company that’s best known for its containerized software development tools, is turning its attention to generative artificial intelligence with the launch of a new service called ...