What We're Reading

Could artificial intelligence improve the accuracy of screening for breast cancer? A comparison of the diagnostic performance of expert physicians and computers suggests so, but the clinical implications are as yet uncertain.

A lesson from Gutenberg's printing press: It’s easy to forget how unforeseeable the “unforeseeable” really is.

In her 'Roots of Unity' blog, mathematician Evelyn Lamb connects the Fibonacci numbers with Hilbert’s 10th problem.

Physicists have watched a chain of 15 amino acids interfere with itself, in an experiment that paves the way for a new era of quantum biology.

A study suggests that after prominent scientists die, their fields see an influx of work from lesser-known researchers.

How did climatology become climate science — more broadly, how did the idea of Earth as an interconnected natural system emerge? A historian traces the change in a new book.

The scientific literature is riddled with bad charts and graphs, leading to misunderstanding and worse. Avoiding design missteps can improve understanding of research.

Microscopy has been a trade-off until now: the bigger the sample, the lower the resolution. But picking out cellular detail in mouse brains and more is becoming increasingly possible.

Understanding how artificial intelligence makes its decisions is often very difficult to do. Google hopes to solve that problem by feeding counterfactual data to AI systems to figure out what the systems are paying attention to.

In the briny lakes in Africa’s Rift Valley and the cold, dry soil of Antarctica’s Shackleton Glacier Valley, life reaches its limits: Researchers have pinpointed conditions too hostile for even the toughest microbes, contradicting the current wisdom that life is really everywhere.