Coral reefs, nurturing hubs of marine biodiversity, are grappling with mounting threats from environmental shifts. Traditional monitoring techniques, often laborious and invasive, are proving inadequate in the face of rapid ...
Scientists at La Jolla Institute for Immunology (LJI) have developed a new computational method for linking molecular marks on our DNA to gene activity. Their work may help researchers connect genes to the molecular "switches" ...
The Nanomaterials Modeling group of Dr. Grajciar and Dr. Heard from the Faculty of Science, Charles University develops and applies a range of computational methods to study materials with significant industrial potential ...
A study published in the International Journal of Electronic Marketing and Retailing has provided new insights into social media influencers, particularly focusing on those in the women's fashion sector on the well-known ...
A research team developed new equipment that achieved fully automatic and unmanned detection of soil nutrients (such as organic matter, available potassium, available phosphorus) and heavy metals (including Pb, Cd, Hg, As, ...
Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous metal substrates. Details of the method, developed by researchers at Nagoya ...
"Make sure you finish your antibiotics course, even if you start feeling better' is a medical mantra many hear but ignore," says Cesar de la Fuente of the University of Pennsylvania.
How can machine learning help astronomers find Earth-like exoplanets? This is what a new study hopes to address as a team of international researchers investigated how a novel neural network-based algorithm could be used ...
The Australian government has announced an A $6.5 million trial of "age assurance" technology to restrict minors' access to pornography. It's part of a $1 billion package to address gendered violence. And it now comes alongside ...
A computer system which harnesses the power of AI to learn the language of cancer is capable of spotting the signs of the disease in biological samples with remarkable accuracy, its developers say.
