Data Machina #255 A weekly deep...

New Trends in AI-RAG and Graphs. I’ve been doing a bit of research on how to improve RAG with graphs. I’m especially interested in augmenting … Read More

Are you thinking: “I’ve heard that AI can provide some value to my organization?” but wondering where to start? You might be a CIO or … Read More

Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images. They have already attracted a lot of attention after OpenAI, … Read More

Artificial intelligence is becoming mainstream and many organizations, startups and big corporates alike, are now starting internal AI projects or are incooperating AI into other … Read More

To be future-proof, companies need to embrace automated labelling. But where to start? In this blog series, we focus on content metadata. A few weeks … Read More

State Space Models (SSMs): An Alt to Transformers? SSMs are not something new; they’ve been successfully applied in many fields like control systems, physics, economics… … Read More

Have you ever wondered just how many decisions you will make today? In your lifetime? Though difficult to measure, researchers have estimated that the average … Read More

Neural radiance fields (NeRFs) slowly become the next hot topic in the world of Deep Learning. Since they were originally proposed in 2020, there is … Read More

Lobe.ai just released for open beta and the short story is that you should go try it out. I was lucky and got to test … Read More

Companies that want to keep up with market developments require well-organised metadata at a very granular level. They need to embrace automated labelling to be … Read More