RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene therapies to genome editing and synthetic biology. However, designing RNA ...
RNA design is central to next-generation therapeutics, yet identifying sequences that reliably fold into desired structures remains a major computational challenge, often constrained by high cost and ...
Earlier this week, Dan Blanchard, maintainer of a Python character encoding detection library called chardet, released a new version of the library under a new software license.… In doing so, he may ...
Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...
Abstract: A study report brings in a predictive framework that involves physicochemical and structural descriptors in estimating electronic properties of nanoparticles. The irrevocable cost of the ...
Ink & Switch published bijou64, a variable-length integer encoding where every number has exactly one byte representation, ...
The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by laboratories in the U.S. and other countries to guide effo ...
Microsoft wants to fight AI-powered cyberattacks with AI defenders of its own. The company has unveiled Project Perception, a ...
It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...
In a departure from decades of computational tradition, a team of researchers at Unconventional AI has developed a method for ...