AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

The evolution of software architecture is contributing to increasing energy consumption.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for ...

We look at block vs file storage for contemporary workloads, and find it’s largely a case of trade-offs between cost, complexity and the level of performance you can settle for.

Want to work from home? These nine entry-level remote jobs pay $80K+ and require minimal experience, making them great ...

CRUD (Create, Read, Update, Delete) is the standard vocabulary of most applications. But it is a technical vocabulary, not a ...

How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...

The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from ...

According to the initial results, no model—including Gemini 3 Pro, GPT-5, or Claude 4.5 Opus—managed to crack a 70% accuracy ...