Skild AI raised $1.4 billion in a SoftBank-led round, valuing it at $14 billion as it builds a unified “brain” to run ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

If the big bottleneck in your Rust development workflow is compile time, there are at least five ways you can fix it.

Across the retail sector, the competitive frontier is shifting from who captures data to who can transform that data into ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

For decades, we have adapted to software. We learned shell commands, memorized HTTP method names and wired together SDKs. Each interface assumed we would speak its language. In the 1980s, we typed ...

Building a powerful Large Language Model (LLM) requires deploying dedicated tools to create high-quality sets of data that can be used for training purposes. Instead of relying on traditional tools, ...

According to Andrew Ng (@AndrewYNg), improving large language models (LLMs) currently relies on a piecemeal, data-centric process rather than sweeping breakthroughs. Ng highlights that while LLMs ...

Integrating audio and visual data for training multimodal foundational models remains a challenge. The Audio-Video Vector Alignment (AVVA) framework addresses this by considering AV scene alignment ...