Tag Archives: Deep Learning

Research Preview: Science Magazine – April 19, 2024

Current Issue Cover

Science Magazine – April 18, 2024: The new issue features ‘Designed To Bind’ – Deep learning for protein and ligand modeling…

Brightest gamma ray burst ever emerged from collapsing star

NASA’s JWST telescope traces burst to a supernova but finds a puzzling lack of heavy elements

Native lizards taught to avoid toxic toads by released toadlets

Exposing monitor lizards to thousands of young cane toads helped them survive once the adult toads invaded

Hiring ban disrupts research at Florida universities

Suit seeks to overturn state law targeting graduate and postdocs from China and other “countries of concern”

Giant planets ran amok soon after Solar System’s birth

Meteorites suggest tumult occurred around the time of the Moon’s formation

Research Preview: Nature Magazine – Sept 15, 2022

Volume 609 Issue 7927

Monkeypox, COVID-19, AIDS: have we progressed so little?

Deaths and sufferings are not a failure of technology or knowledge, but a failure of will.

The world’s reservoirs are ageing — and belching out more methane

But carbon dioxide emissions resulting from the global reservoir-building spree in the 1960s and 1970s are falling.

The Jurassic vomit that stood the test of time

A fossilized pile of small bones is probably a meal that an animal heaved up 150 million years ago.

Rarest of elements yield their secrets with help from mighty metals

Surrounding an ion of curium with radiation-resistant clusters of other ions allows scientists to study the scarce substance.

Why some female hummingbirds mimic males: it’s all about nectar

Some female white-necked jacobins nab good feeding spots by adopting the flashy plumage of their bigger, brasher male counterparts.

A sugary diet wrecks gut microbes — and their anti-obesity efforts

A high-sugar diet unbalances the microbiome, so the body makes fewer of the gut immune cells that help to prevent metabolic disorders.

Science: Endometriosis Insights, Deep Learning That Predicts RNA Folding

News Intern Rachel Fritts talks with host Sarah Crespi about a new way to think about endometriosis—a painful condition found in one in 10 women in which tissue that normally lines the uterus grows on the outside of the uterus and can bind to other organs.

Next, Raphael Townshend, founder and CEO of Atomic AI, talks about predicting RNA folding using deep learning—a machine learning approach that relies on very few examples and limited data.

Finally, in this month’s edition of our limited series on race and science, guest host and journalist Angela Saini is joined by author Lundy Braun, professor of pathology and laboratory medicine and Africana studies at Brown University, to discuss her book: Breathing Race into the Machine: The Surprising Career of the Spirometer from Plantation to Genetics.