Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

This simple prompt turns Claude into a powerful thinking partner — here’s how to use it ...

Scientists used a compact AI model to predict how visual cortex neurons respond to images, revealing hidden patterns in ...

A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th of its original size.

The results were fascinating, impressive, and sometimes surprisingly broken. Here are five lessons I learned that can help you get better results faster.