Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape. Organizations are grappling with growing c ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...

Google has announced ' Titans,' an architecture to support long-term memory in AI models, and ' MIRAS,' a framework. Titans + MIRAS: Helping AI have long-term memory To address this issue, Google has ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

The integration of open architecture and advanced technology has become pivotal in delivering customized and scalable model portfolios. This approach helps enhance the personalization of investment ...