Evolution has been fine-tuning life at the molecular level for billions of years. Proteins, the fundamental building blocks ...

Leveraging the power of large language models, evolutionary biologists have successfully simulated 500 million years of ...

That's the equivalent of 500 million years of evolution being processed by AI, the research team estimates, and it opens the way to creating custom-made proteins that can be designed for specific uses ...

A startup founded by former Meta researchers is creating an alternative evolutionary path using the most powerful ...

In a study published in Science, researchers detailed how they used advanced language models to fast-forward evolution, simulating hundreds of millions of years of genetic changes ...

It’s been trained on 771 billion unique tokens – the AI term for a unit of data – taken from databases of natural protein ...

A team of AI researchers ... 236 million protein structures and 539 million protein annotations. According to the researchers, this was like giving the model 500 million years of evolutionary ...

An artificial intelligence model has created a new protein that researchers say would have taken 500 million years to evolve in nature — if nature were capable of producing such a thing.

with a genetic sequence so different from known fluorescent proteins that the researchers say its creation is equivalent to ESM3 simulating 500 million years of biological evolution. The model cou ...

2025 Researchers behind the simulation claim this was the equivalent of giving the AI model 500 million years of evolutionary knowledge. This allowed the model to start with basic code, which evolved ...