The public debate on genetic engineering in agriculture is largely characterised by misinformation, myths and a confused understanding of nature, writes plant breeding and gene editing expert ...

And here's where the ethical issues arise. Simple genetic engineering - changing one gene - is probably pretty technically straightforward and doesn't pose too many thorny issues.

For instance, the paper suggests that parents could make use of genetic engineering or hormone therapy in order to birth smaller, less resource-intensive children.

EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.

But genetic engineering is very difficult and expensive. At least, it used to be. Last month, two groups announced that they had performed a mind-boggling feat.

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well?