Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

Receptors on B and T cells hint at what the immune system is targeting. An AI approach called Mal-ID developed increases diagnostic accuracy, particularly for autoimmune diseases. Your immune system ...

For the first time, researchers in China have accurately quantified how chaos increases in a quantum many-body system as it evolves over time. Combining experiments and theory, a team led by Yu-Chen ...

A: an illustration of the complex system of AI-infused social networks. B: a model of amplification of biases in networks due to feedback between algorithm and human decision over time. B (i), ...

Getting to the heart of causality is central to understanding the world around us. What causes one variable — be it a biological species, a voting region, a company stock, or a local climate — to ...

Complexity science – which describes phenomena such as collective and emergent behaviour – is the focus of a new centre where researchers are examining everything from the spread of influenza to what ...

Google DeepMind has used chatbot models to come up with solutions to major problems in mathematics and computer science. The system, called AlphaEvolve, combines the creativity of a large language ...