An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

There are some key clinical and financial use cases already showing their worth – but while innovation around artificial intelligence is happening rapidly, there's risk in moving too quickly, one ...