Population bottlenecks caused by stark population loss due to illness or habitat destruction caused mammals' disease immunity ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

The convergence of data science, machine learning, and healthcare represents one of the most promising frontiers in modern ...

They are using the pattern recognition capabilities of AI to sort a cacophony of caws and rumbles and chatter into individual ...

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

The BYU College of Computational, Mathematical and Physical Sciences (CMS) faculty and staff held a kick-off event to bring ...

The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so large they’re impossible to write out using standard mathematical notation.

It was previously thought that children younger than 7 couldn't find efficient solutions to complex problems, but new ...

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered ...

To solve a problem, scientists first need to see it clearly. Whether it’s a virus slipping past the immune system or plaques ...

The calculator analogy has been rightly criticised, because it can obscure the more troubling aspects of generative AI. Unlike chatbots, calculators don’t have built-in biases, they don’t make ...

Prime numbers are sometimes called math’s “atoms” because they can be divided by only themselves and 1. For two millennia, mathematicians have wondered if the prime numbers are truly random, or if ...