Genetic programming (GP) represents a class of evolutionary algorithms that automates the creation of computer programmes to solve complex problems. Coupled with symbolic regression (SR), which aims ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

A novel way for governments and corporations to shape AI’s impact is to create advance market commitments that create ...

Wealthy British couples are paying tens of thousands of dollars to overseas firms to rank their IVF embryos for predicted ...

The digital health revolution is accelerating at an unprecedented pace, transforming how we diagnose diseases, deliver care, and manage wellness. From AI-powere ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

It was in the year 1914 that Indian mathematician Srinivasa Ramanujan came to Cambridge with a notebook filled with 17 ...

The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...

Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.